DOP-C02 AWS Certified DevOps Engineer - Professional Questions and Answers

Configure the Systems Manager document to use the AWS-RunShellScnpt command to copy the files from GitHub to Amazon S3, then use the aws-downloadContent plugin with a sourceType of S3

Configure the Systems Manager document to use the aws-configurePackage plugin with an install action and point to the Git repository

Configure the Systems Manager document to use the aws-downloadContent plugin with a sourceType of GitHub and sourcelnfo with the repository details.

Configure the Systems Manager document to use the aws:softwarelnventory plugin and run the script from the Git repository

Add an additional secondary cluster to the global database.

Enable write forwarding for the global database.

Remove one of the secondary clusters from the global database.

Configure synchronous replication for the global database.

Configure CodePipeline to write actions to Amazon CloudWatch Logs.

Configure CodePipeline to write actions to an Amazon S3 bucket at the end of each pipeline stage.

Create an AWS CloudTrail trail to deliver logs to Amazon S3.

Create a CodePipeline custom action to invoke an AWS Lambda function for approval. Create a policy that gives the security team access to manage CodePipeline custom actions.

Create a CodePipeline manual approval action before the deployment step. Create a policy that grants the security team access to approve manual approval stages.

Use an AWS Config conformance pack to deploy the account-part-of-organizations AWS Config rule and to automatically remediate any noncompliant accounts.

Create an AWS Lambda function to create a ticket for AWS Support to add the account to the Enterprise Support plan. Grant the Lambda function the support:ResolveCase permission.

Add an additional value to the control_tower_parameters input to set the AWSEnterpriseSupport parameter as the organization's management account number.

Set the aft_feature_enterprise_support feature flag to True in the AFT deployment input configuration. Redeploy AFT and apply the changes.

Configure AWS Firewall Manager for the organization. Create an AWS Network Firewall policy that allows only source traffic from the company's IP address range Set the policy scope to all accounts in the organization.

In Organizations, create an SCP that denies source IP addresses that are outside of the company s IP address range. Attach the SCP to the organization's root

Configure Amazon GuardDuty for the organization. Create a GuardDuty trusted IP address list for the company's IP range Activate the trusted IP list for the organization.

In Organizations, create an SCP that allows source IP addresses that are inside of the company s IP address range. Attach the SCP to the organization's root.

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.

Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.

Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.

Upload the application as a Docker image that contains all the necessary software to Amazon ECR Create an Amazon ECS cluster using an AWS Fargate launch type and an Auto Scaling group. Create an AWS CodePipeline pipeline that uses Amazon ECR as a source and Amazon ECS as a deployment provider

Upload the application code to an AWS CodeCommit repository with a saved configuration file to configure and install the software Create an AWS Elastic Beanstalk web server tier and a load balanced-type environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider

Upload the application code to an AWS CodeCommit repository with a set of ebextensions files to configure and install the software. Create an AWS Elastic Beanstalk worker tier environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider

Upload the application code to an AWS CodeCommit repository with an appspec.yml file to configure and install the necessary software. Create an AWS CodeDeploy deployment group associated with an Amazon EC2 Auto Scaling group Create an AWS CodePipeline pipeline that uses CodeCommit as a source and CodeDeploy as a deployment provider

Create an Amazon EventBridge rule with a source of aws.cloudtrail and the event name AuthorizeSecurityGroupIngress. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.

Enable Amazon GuardDuty and check the findings for security groups in AWS Security Hub. Configure an Amazon EventBridge rule with a custom pattern that matches GuardDuty events with an output of NON_COMPLIANT. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.

Create an AWS Config rule by using the restricted-ssh managed rule to check whether security groups disallow unrestricted incoming SSH traffic. Configure automatic remediation to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Enable Amazon Inspector. Include the Common Vulnerabilities and Exposures-1.1 rules package to check the security groups that are associated with the bastion hosts. Configure Amazon Inspector to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Update the status of the affected CodeArtifact package version to unlisted

Update the status of the affected CodeArtifact package version to deleted

Update the status of the affected CodeArtifact package version to archived.

Update the CodeArtifact package origin control settings to allow direct publishing and to block upstream operations

Update the CodeArtifact package origin control settings to block direct publishing and to allow upstream operations.

Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.

Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.

Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runorder.

Modify each CodeBuild protect to run within a VPC and use dedicated instances to increase throughput.

Use AWS Systems Manager to create a new custom patch baseline that includes the default operating system repository and the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the new custom patch baseline.

Use AWS Direct Connect to integrate the custom repository with the EC2 instances. Use Amazon EventBridge events to deploy the patches.

Use the yum-config-manager command to add the custom repository to the /etc/yum.repos.d configuration. Run the yum-config-manager-enable command to activate the new repository.

Use AWS Systems Manager to create a patch baseline for the default operating system repository and a second patch baseline for the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the default patch baseline and the custom patch baseline.

Configure a CodePipeline V2 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all tags. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

Configure a CodePipeline V2 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all branches. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

Configure a CodePipeline V1 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all tags. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

Configure a CodePipeline V1 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all branches. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

Configure AWS Systems Manager on each instance Use AWS Systems Manager Inventory Use Systems Manager resource data sync to synchronize and store findings in an Amazon S3 bucket Create an AWS Lambda function that runs when new objects are added to the S3 bucket. Configure the Lambda function to identify prohibited applications.

Configure AWS Systems Manager on each instance Use Systems Manager Inventory Create AWS Config rules that monitor changes from Systems Manager Inventory to identify prohibited applications.

Configure AWS Systems Manager on each instance. Use Systems Manager Inventory. Filter a trail in AWS CloudTrail for Systems Manager Inventory events to identify prohibited applications.

Designate Amazon CloudWatch Logs as the log destination for all application instances Run an automated script across all instances to create an inventory of installed applications Configure the script to forward the results to CloudWatch Logs Create a CloudWatch alarm that uses filter patterns to search log data to identify prohibited applications.

Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment

Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment

Create an Amazon S3 bucket in both Regions. Configure S3 Cross-Region Replication (CRR) for the S3 buckets. Create a scheduled AWS Lambda function to copy any new content from the FSx for ONTAP volume to the S3 bucket in the production Region.

Use AWS Backup to create a backup vault and a custom backup plan that has a 10-minute frequency. Specify the DR Region as the target Region. Assign the EC2 instances in the production Region to the backup plan.

Create an AWS Lambda function to create snapshots of the instance store volumes that are attached to the EC2 instances. Configure the Lambda function to copy the snapshots to the DR Region and to remove the previous copies. Create an Amazon EventBridge scheduled rule that invokes the Lambda function every 10 minutes.

Create an FSx for ONTAP instance in the DR Region. Configure a 5-minute schedule for a volume-level NetApp SnapMirror to replicate the volume from the production Region to the DR Region.

Add the instance to an EC2 Auto Scaling group with the minimum, maximum, and desired capacity set to 1.

Add the instance to an EC2 Auto Scaling group with a lifecycle hook to detach the EBS volume when the EC2 instance shuts down or terminates.

Create an Amazon CloudWatch alarm for the StatusCheckFailed System metric and select the EC2 action to recover the instance.

Create an Amazon CloudWatch alarm for the StatusCheckFailed Instance metric and select the EC2 action to reboot the instance.

Create a new data protection policy on the log group. Add an Emp-\d{6} custom data identifier configuration. Create an IAM policy that has a Deny action for the "Action":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

Create a new data protection policy on the log group. Add managed data identifiers for the personal data category. Create an IAM policy that has a Deny action for the "NotAction":"logs:Unmask" permission on the resource. Attach the policy to the engineering accounts.

Create an AWS Lambda function to parse a log file entry, remove the employee ID, and write the results to a new log file. Create a Lambda subscription filter on the log group and select the Lambda function. Grant the lambda:InvokeFunction permission to the log group.

Create an Amazon Data Firehose delivery stream that has an Amazon S3 bucket as the destination. Create a Firehose subscription filter on the log group that uses the Firehose delivery stream. Remove the "logs:*" permission on the engineering accounts. Create an Amazon Macie job on the S3 bucket that has an Emp-\d{6} custom identifier.

Create an Amazon EventBridge rule that reacts to EC2 Instance State-change Notification events.

Create an Amazon CloudWatch Logs log group. Specify the log group as a target for the EventBridge rule.

Create a flow log in VPC Flow Logs.

Create an Amazon CloudWatch Logs log group. Specify the log group as a destination for the flow log.

Create a log group metric filter.

Create a log group subscription filter. Use EventBridge as the destination.

Create a CodeCommit repository in the secondary Region. Create an AWS CodeBuild project to perform a Git mirror operation of the primary Region's CodeCommit repository to the secondary Region's CodeCommit repository. Create an AWS Lambda function that invokes the CodeBuild project. Create an Amazon EventBridge rule that reacts to merge events in the primary Region's CodeCommit repository. Configure the EventBridge rule to invoke the Lambda

Create an Amazon S3 bucket in the secondary Region. Create an AWS Fargate task to perform a Git mirror operation of the primary Region's CodeCommit repository and copy the result to the S3 bucket. Create an AWS Lambda function that initiates the Fargate task. Create an Amazon EventBridge rule that reacts to merge events in the CodeCommit repository. Configure the EventBridge rule to invoke the Lambda function.

Create an AWS CodeArtifact repository in the secondary Region. Create an AWS CodePipeline pipeline that uses the primary Region's CodeCommit repository for the source action. Create a Cross-Region stage in the pipeline that packages the CodeCommit repository contents and stores the contents in the CodeArtifact repository when a pull request is merged into the CodeCommit repository.

Create an AWS Cloud9 environment and a CodeCommit repository in the secondary Region. Configure the primary Region's CodeCommit repository as a remote repository in the AWS Cloud9 environment. Connect the secondary Region's CodeCommit repository to the AWS Cloud9 environment.

Create a new SCP that has two statements, one that allows access to the new range of IP addresses for all the S3 buckets and one that demes access to the old range of IP addresses for all the S3 buckets. Set a permissions boundary for the OrganzauonAccountAccessRole role In the two OUS to deny access to the S3 buckets.

Create a new SCP that has a statement that allows only the new range of IP addresses to access the S3 buckets. Create another SCP that denies access to the S3 buckets. Attach the second SCP to the two OUS

On all the S3 buckets, configure resource-based policies that allow only the new range of IP addresses to access the S3 buckets. Create a new SCP that denies access to the S3 buckets. Attach the SCP to the two OUs.

On all the S3 buckets, configure resource-based policies that allow only the new range of IP addresses to access the S3 buckets. Set a permissions boundary for the OrganizationAccountAccessRole role in the two OUS to deny access to the S3 buckets.

Create a stack export from the database CloudFormation template and import those references into the web application CloudFormation template

Create a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.

Create a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks.

Create input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.

Create an Organizations SCP deny policy that has a condition that the aws:RequestedRegion property does not match a list of all US Regions. Include an exception in the policy for global services. Attach the policy to the root of the organization.

Configure AWS CloudTrail to send logs to Amazon CloudWatch Logs. Enable CloudTrail for all Regions. Use a CloudWatch Logs metric filter to create a metric in non-US Regions. Configure a CloudWatch alarm to send an alert if the metric is greater than 0.

Use an AWS Lambda function that checks for AWS service activity. Deploy the Lambda function to all Regions. Write an Amazon EventBridge rule that runs the Lambda function every hour. Configure the rule to send an alert if the Lambda function finds any activity in a non-US Region.

Use an AWS Lambda function to query Amazon Inspector to look for service activity in non-US Regions. Configure the Lambda function to send alerts if Amazon Inspector finds any activity.

Create an Organizations SCP allow policy that has a condition that the aws:RequestedRegion property matches a list of all US Regions. Include an exception in the policy for global services. Attach the policy to the root of the organization.

Configure a higher reserved concurrency for the Lambda functions.

Configure a higher provisioned concurrency for the Lambda functions

Convert the DB cluster to an Aurora global database Add additional Aurora Replicas in AWS Regions based on the locations of the company's customers.

Refactor the Lambda Functions Move the code blocks that initialize database connections into the function handlers.

Use Amazon RDS Proxy to create a proxy for the Aurora database Update the Lambda functions to use the proxy endpoints for database connections.

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.

Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.

Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.

Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

Modify the CloudFormation template to include a parameter for the Lambda function code’s zip file location. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to pass in the us-east-1 artifact location as a parameter override.

Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.

Create an S3 bucket in us-east-1. Configure the S3 bucket policy to allow CodePipeline to have read and write access.

Create an S3 bucket in us-east-1. Configure S3 Cross-Region Replication (CRR) from the S3 bucket in eu-west-1 to the S3 bucket in us-east-1.

Modify the pipeline to include the S3 bucket for us-east-1 as an artifact store. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.

Add an AWS CodeBuild action to the pipeline. Add a buildspec.yml file to the Git repository to define commands to run tests. Configure the pipeline to stop the deployment if a test fails.

Configure Git webhooks to initiate an AWS Lambda function during each code merge. Configure the Lambda function to run tests programmatically and to stop the pipeline if a test fails.

Configure AWS Batch to use Docker images of test environments. Integrate AWS Batch into the pipeline. Add an AWS Lambda function to the pipeline that submits the batch jobs and reverts the code merge if a test fails.

Configure the Git repository to push code to an Amazon S3 bucket during each code merge. Use S3 Event Notifications to initiate tests and to revert the code merge if a test fails.

Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.

Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.

Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.

Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.

Add a reader instance to the Aurora cluster. Update the application to use the Aurora cluster endpoint for write operations. Update the Aurora cluster's reader endpoint for reads.

Add a reader instance to the Aurora cluster. Create a custom ANY endpoint for the cluster. Update the application to use the Aurora cluster's custom ANY endpoint for read and write operations.

Turn on the Multi-AZ option on the Aurora cluster. Update the application to use the Aurora cluster endpoint for write operations. Update the Aurora cluster’s reader endpoint for reads.

Turn on the Multi-AZ option on the Aurora cluster. Create a custom ANY endpoint for the cluster. Update the application to use the Aurora cluster's custom ANY endpoint for read and write operations.

Publish CloudTrail logs to S3 in the audit account. Create an EventBridge rule for failed login events and notify via SNS.

Store logs in the management account and query using Athena + Lambda every 5 minutes.

Store logs in audit S3 + CloudWatch log group in management account + metric filter for failed logins → SNS.

Stream to Kinesis → Flink → SNS.

Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.

Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Set up AWS Config in the account. Use a managed rule to check EC2 instances. Configure the rule to remediate the findings by using AWS Systems Manager Automation to terminate the instance.

Create a permissions boundary that prevents the ec2:Runlnstance action if the ec2:MetadataHttpTokens condition key is not set to a value of required. Attach the permissions boundary to the IAM role that was used to launch the instance.

Set up Amazon Inspector in the account. Configure Amazon Inspector to activate deep inspection for EC2 instances. Create an Amazon EventBridge rule for an Inspector2 finding. Set an AWS Lambda function as the target to terminate the instance.

Create an Amazon EventBridge rule for the EC2 instance launch successful event. Send the event to an AWS Lambda function to inspect the EC2 metadata and to terminate the instance.

ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.

Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.

Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.

Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.

Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

Create CloudFormation StackSets with approved CloudFormation templates.

Create AWS Service Catalog products with approved CloudFormation templates.

Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.

Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.

Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.

Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.

Create a private ECR repo, scan images on push, replicate images from upstream repos with a replication rule.

Create a public ECR repo to cache images from upstream repos, create a private repo to store images, scan images on push.

Create a public ECR repo, configure a pull-through cache rule, create a private repo to store images, enable basic scanning.

Create a private ECR repo, enable basic scanning, create a pull-through cache rule.

Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval

Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.

Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage

Update the SAML assertion to pass the user's team name. Update the IAM role's trust policy to add an access-team session tag that has the team name.

Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Create an approval rule template for each account. Associate the template with all repositories. Add the "aws:ResourceTag/access-team":"$ ;{aws:PrincipaITag/access-team}" condition to the approval rule template.

For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Attach an SCP to the accounts. Include the following statement: A computer code with text AI-generated content may be incorrect.

Create an IAM permissions boundary in each account. Include the following statement: A computer code with black text AI-generated content may be incorrect.

Increase the memory of the Lambda function to give the function the ability to process large files from the S3 bucket.

Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket

Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function

Provision space in the /tmp folder of the Lambda function to give the function the ability to process large files from the S3 bucket

Configure the CloudFormation infrastructure as code (IaC) generator to scan for existing resources in the AWS account. Create a CloudFormation template that includes the scanned resources. Import the CloudFormation template into a new CloudFormation stack.

Configure AWS Config to scan for existing resources in the AWS account. Create a CloudFormation template that includes the scanned resources. Import the CloudFormation template into a new CloudFormation stack.

Use CodeConnections to establish a connection between the Git provider and AWS CodePipeline. Push the CloudFormation template to the Git repository. Run a pipeline in CodePipeline that deploys the CloudFormation stack for every merge into the Git repository.

Use CodeConnections to establish a connection between the Git provider and CloudFormation. Push the CloudFormation template to the Git repository. Sync the Git repository with the CloudFormation stack.

Create an IAM role, and set CloudFormation as the principal. Grant the IAM role access to manage the stack resources. Create an SCP that denies all actions to all the principals except by the IAM role. Link the SCP with the production OU.

Create an IAM role, and set CloudFormation as the principal. Grant the IAM role access to manage the stack resources. Create an SCP that allows all actions to only the IAM role. Link the SCP with the production OU.

Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.

Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.

Configure image replication for each image from the image's pre-scan repository to the image's post-scan repository.

Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.

Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.

Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data's S3 bucket to each application's S3 bucket. Configure each application to consume data from its own S3 bucket.

Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.

For each application, create an S3 access point that uses the raw data's S3 bucket as the destination. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Store the data in each application's S3 access point. Configure each application to consume data from its own S3 access point.

Create an S3 access point that uses the raw data's S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.

Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.

Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution's origin to use the new record set.

Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution's default behavior to send origin responses to the function.

Configure the AWS Config ec2-volume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.

Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as *.

Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.

Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.

Use the cfn-signal helper script to signal success or failure to CloudFormation Use the WaitOnResourceSignals update policy within the CloudFormation template Set an appropriate timeout for the update policy.

Create an Amazon CloudWatch alarm for the UnhealthyHostCount metric. Include an appropriate alarm threshold for the target group Create an Amazon Simple Notification Service (Amazon SNS) topic as the target to signal success or failure to CloudFormation

Create a lifecycle hook on the Auto Scaling group by using the AWS AutoScaling LifecycleHook resource Create an Amazon Simple Notification Service (Amazon SNS) topic as the target to signal success or failure to CloudFormation Set an appropriate timeout on the lifecycle hook.

Use the Amazon CloudWatch agent to stream the cloud-init logs Create a subscription filter that includes an AWS Lambda function with an appropriate invocation timeout Configure the Lambda function to use the SignalResource API operation to signal success or failure to CloudFormation.

Use SSH to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

Use AWS Systems Manager Session Manager to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

Create an Amazon S3 bucket to store CodeDeploy logs. Update the appspec.yml file to copy logs to the S3 bucket. Query the S3 bucket by using Amazon Athena.

Send CodeDeploy agent logs to Amazon CloudWatch Logs by using the CloudWatch agent. Analyze the logs by using CloudWatch Logs Insights.

Configure VPC Flow Logs to monitor network traffic. Use Amazon Inspector to detect non-network deployment issues. Use Amazon Detective to analyze the findings.

Enable detailed monitoring on the EC2 instances. Use AWS Systems Manager Run Command to run troubleshooting scripts on all the EC2 instances simultaneously. Analyze the results in AWS CloudTrail logs.

Use Amazon CloudWatch Logs to review application logs. Analyze CodeDeploy deployment logs in the /opt/codedeploy-agent/deployment-root/ directory on the EC2 instances. Use AWS X-Ray to trace requests through the application components.

Examine AWS Trusted Advisor checks for the CodeDeploy deployments. Use the AWS Health Dashboard to monitor application health. Analyze performance metrics in Amazon CloudWatch dashboards.

Turn on trusted access for Security Hub in the organization's management account. Create a new security account by using AWS Control Tower Configure the new security account as the delegated administrator account for Security Hub. In the new security account provide. Security Hub with the CIS Benchmarks for AWS Foundations standards.

Turn on trusted access for Security Hub in the organ ration's management account. From the management account, provide Security Hub with the CIS Benchmarks for AWS Foundations standards.

Create an AWS IAM identity Center (AWS Single Sign-On) permission set that includes the required permissions Use the CreateAccountAssignment API operation to associate the security team users with the permission set and with the delegated security account.

Create an SCP that explicitly denies any user who is not on the security team from accessing Security Hub.

In Security Hub, turn on automatic enablement.

In the organization's management account create an Amazon EventBridge rule that reacts to the CreateManagedAccount event Create an AWS Lambda function that uses the Security Hub CreateMembers API operation to add new accounts to Security Hub. Configure the EventBridge rule to invoke the Lambda function.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Application Load Balancer and an Auto Scaling group for the Redis cache.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create a Network Load Balancer and an Auto Scaling group in a single Availability Zone for the Redis cache.

Create a Network Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora Serverless database. Create an Amazon ElastiCache (Redis OSS) cluster for the cache. Create a target group that has a DNS target type that contains the ElastiCache (Redis OSS) cluster hostname.

Create an Application Load Balancer and an Auto Scaling group for the web application. Migrate the database to an Amazon Aurora database that has a Multi-AZ deployment. Create an Amazon ElastiCache (Redis OSS) cluster for the cache.

Use Fn::ImportValue intrinsic functions in the Resources section of the template to retrieve Virtual Private Cloud (VPC) and subnet values. Use CloudFormation StackSets for the development environments, using the Count input parameter to indicate the number of environments needed. Use the UpdateStackSet command to update existing development environments.

Use nested stacks to define common infrastructure components. To access the exported values, use TemplateURL to reference the networking team’s template. To retrieve Virtual Private Cloud (VPC) and subnet values, use Fn::ImportValue intrinsic functions in the Parameters section of the root template. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.

Use nested stacks to define common infrastructure components. Use Fn::ImportValue intrinsic functions with the resources of the nested stack to retrieve Virtual Private Cloud (VPC) and subnet values. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.

Use Fn::ImportValue intrinsic functions in the Parameters section of the root template to retrieve Virtual Private Cloud (VPC) and subnet values. Define the development resources in the order they need to be created in the CloudFormation nested stacks. Use the CreateChangeSet. and ExecuteChangeSet commands to update existing development environments.

Deploy the application by using AWS Fargate containers. Migrate the database to Amazon DynamoDB. Use Amazon API Gateway to route requests.

Deploy the application on EC2 instances across multiple Availability Zones. Put the EC2 instances into an Auto Scaling group behind an Application Load Balancer. Migrate the database to Amazon Aurora Multi-AZ. Use Amazon CloudFront for content delivery.

Use AWS Elastic Beanstalk to deploy the application across multiple AWS Regions. Migrate the database to Amazon Redshift. Use Amazon ElastiCache for session management.

Migrate the application to AWS Lambda functions. Use Amazon S3 for static content hosting. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.

Create an Amazon Elastic File System (Amazon EFS) file system that has targets in multiple Availability Zones

Create an Amazon FSx for NetApp ONTAP Multi-AZ file system.

Create a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume to use for shared storage.

Update the user data for each application's launch template to mount the file system

Perform an instance refresh on each Auto Scaling group.

Update the EC2 instances for each application to mount the file system when new instances are launched

Create an application group and a deployment group in AWS CodeDeploy. Install the CodeDeploy agent on the EC2 instances.

Create an application revision and a deployment group in AWS CodeDeploy. Create an environment in CodeDeploy. Register the EC2 instances to the CodeDeploy environment.

Use AWS CodePipeline to invoke the CodeBuild job, run the CloudFormation update, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.

Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, run the CloudFormation change sets and start the AWS CodeDeploy deployment.

Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.

The two affected instances failed to fetch the new deployment.

A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances

The CodeDeploy agent was not installed in two affected instances.

EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.

Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository. Use AWS CodeBuild to build an artifact and copy the object into the S3 bucket. Configure CodeBuild to run for every merge into the main branch.

Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.

Create user data for each EC2 instance that contains the cache clearing script. Test the application after deployment. If the deployment is not successful, then redeploy.

Use AWS CodePipeline to deploy the application. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository as a source for the pipeline.

Use AWS CodeBuild to build the artifact and place the artifact in the S3 bucket. Use AWS CodeDeploy to deploy the artifact to EC2 instances.

Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.

Set up multiple CloudFront distributions. Point each distribution to another S3 bucket in a different Region. Use Amazon Route 53 latency-based routing to direct users to the nearest distribution.

Enable S3 replication between the S3 bucket in us-east-1 and the S3 bucket in the different Region.

Enable CloudFront with Origin Shield in us-east-1. Configure global edge locations. Set up cache behaviors with optimal TTLs for static content and dynamic content. Configure origin failover to an S3 bucket in a different Region. Enable S3 replication between the S3 bucket in us-east-1 and the S3 bucket in the different Region.

Enable CloudFront with Origin Shield in us-east-1. Configure Amazon ElastiCache clusters in multiple Regions to serve as a distributed caching layer between CloudFront and the S3 origin. Set up a replication script to synchronize the S3 bucket in us-east-1 to an S3 bucket in a different Region. Use Amazon EventBridge to schedule the script to run once a day.

Enable CloudFront with Origin Shield in the eu-west-1 Region. Configure Regional edge caches. Implement AWS Global Accelerator to route requests to the nearest Regional edge location. Enable S3 replication between the S3 bucket in us-east-1 and an S3 bucket in a different Region.

Check that an Amazon EventBridge rule has been created for the main branch to trigger the pipeline.

Check that the CodePipeline service role has permission to access the CodeCommit repository.

Check that the developer’s IAM role has permission to push to the CodeCommit repository.

Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

Modify the Kinesis consumer application to store the logs durably in Amazon S3 Use Amazon EMR to process the data directly on Amazon S3 to derive customer insights Store the results in Amazon S3.

Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the Amazon CloudWatch GetRecords IteratorAgeMilliseconds metric Increase the retention period of the Kinesis data streams.

Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis data streams as the event source for the Lambda function to process the data streams

Increase the number of shards in the Kinesis data streams to increase the overall throughput so that the consumer application processes the data faster.

Create a global table replica of the DynamoDB table in a second Region.

Create a global secondary index for the DynamoDB table.

Create copies of the REST API and the Lambda functions in a second Region.

Create health checks in Amazon Route 53. Create DNS records that include a failover routing policy.

Create health checks in Amazon Route 53. Create DNS records that include a latency routing policy.

Create DNS records in Amazon Route 53 that include a multivalue answer routing policy.

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU.

Create an SCP that denies the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OIJ. Attach the new SCP to the new OU.

Create an SCP that allows the services that IAM Access Analyzer identifies. Attach the new SCP to the organization's root.

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the management account. Detach the default FullAWSAccess SCP from the new OU.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to the 1AM instance profile that the cluster uses.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to a service account role for the cluster.

Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.

Collect performance logs by deploying the AWS Distro for OpenTelemetry collector as a DaemonSet.

Analyze the pod_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the Service dimension.

Analyze the node_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the ClusterName dimension.

Add a health check to the Auto Scaling group to invoke an AWS Lambda function whenever an instance status is impaired.

Configure the Auto Scaling group to send a notification to an Amazon SNS topic whenever a failed instance launch occurs.

Create an Amazon CloudWatch alarm that invokes an AWS Lambda function when a failed Attachinstances Auto Scaling API call is made.

Create a status check alarm on Amazon EC2 to send a notification to an Amazon SNS topic whenever a status check fail occurs.

Enable VPC Flow Logs to identify requests that reach the HTTP API.

Deploy AWS WAF in front of the CloudFront distribution.

Implement an identity-based policy on the CloudFront distribution that requires authentication to make requests to the HTTP API.

Implement a custom header in the CloudFront distribution. Implement an AWS Lambda authorizer associated with the HTTP API that verifies the custom header.

In the CloudFormaiion template add an AWS Config rule. Place the configuration file content in the rule's InputParameters property and set the Scope property to the EC2 Auto Scaling group. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.

In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Configure the cfn-mit script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.

In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.

In the CloudFormation template add CloudFormation imt metadata. Place the configuration file content m the metadata. Configure the cfn-init script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option. and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as 50%. and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, an

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto scaling group option, and use CodeDeployDefault.HalfAtAtime as the deployment configuration. Instruct AWSCodeDeploy to terminate the original instances in the deployment group, and use the BeforeAlIowTraffic hook within appspec.yml to delete t

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefaulLAIIatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appspec.yml to delete the temporary fi

Create a GuardDuty threat list. Configure GuardDuty to reference the list. Create an AWS Lambda function that will update the threat list Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.

Configure an AWS WAF web ACL that includes a custom rule group. Create an AWS Lambda function that will create a block rule in the custom rule group Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty

Configure a firewall in AWS Network Firewall. Create an AWS Lambda function that will create a Drop action rule in the firewall policy Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty

Create an AWS Lambda function that will create a GuardDuty suppression rule. Configure the Lambda function to run in response to new Security Hub findings that come from GuardDuty.

Create the secret in Secrets Manager with managed rotation (60 days). Reference via Parameter Store path.

Create the secret in Parameter Store with automatic rotation (unsupported).

Create the secret in Parameter Store and Lambda rotation (manual).

Create the secret in Secrets Manager with Lambda rotation using Redis rotation template and 60-day schedule. Reference via Parameter Store path.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Create a Route 53 A record with a latency-based routing policy. Add IP addresses of the ALBs as the value of the record.

Deploy an Application Load Balancer (ALB) in front of the EC2 instances in each Region. Deploy an Amazon CloudFront distribution with an origin group that contains the ALBs as origins. Create a Route 53 alias record that points to the CloudFront distribution's DNS address.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Create a Route 53 A record with a multivalue answer routing policy. Add IP addresses of the NLBs as the value of the record.

Deploy a Network Load Balancer (NLB) in front of the EC2 instances in each Region. Deploy an AWS Global Accelerator standard accelerator with an endpoint group for each NLB. Create a Route 53 alias record that points to the accelerator's DNS address.

Delegate AWS Firewall Manager to a security account.

Delegate Amazon GuardDuty to a security account.

Create an AWS Firewall Manager policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Create an Amazon GuardDuty policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Configure an AWS Config managed rule to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Enable smart sessions on the load balancer and modify the application to check tor an existing session.

Enable session sharing on the toad balancer and modify the application to read from the session store.

Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.

Modify the application to store user session information in an Amazon ElastiCache cluster.

Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the 'etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.

Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.

Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file's most recent members Upload the new file to the S3 bucket.

Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.

Enable AWS CloudTrail for control plane logging and deploy Logstash on nodes.

Enable control plane logging to CloudWatch and use CloudWatch Container Insights for node and pod metrics.

Enable API server logging to S3 and deploy Kubernetes Event Exporter to nodes.

Use AWS Distro for OpenTelemetry and stream logs to Amazon Redshift.

Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ NAME to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.

Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.

Invite the acquired company's AWS accounts to join the organization. Create an SCP that has full administrative privileges. Attach the SCP to the management account.

Invite the acquired company's AWS accounts to join the organization. Create the OrganizationAccountAccessRole 1AM role in the invited accounts. Grant permission to the management account to assume the role.

Use AWS Security Hub to collect and group findings across all accounts. Use Security Hub to automatically detect new accounts as the accounts are added to the organization.

Use AWS Firewall Manager to collect and group findings across all accounts. Enable all features for the organization. Designate an account in the organization as the delegated administrator account for Firewall Manager.

Use Amazon Inspector to collect and group findings across all accounts. Designate an account in the organization as the delegated administrator account for Amazon Inspector.

Turn off cross-zone load balancing on the ALB Use Amazon Route 53 Application Recovery Controller to start a zonal shift away from the Availability Zone

Turn off cross-zone load balancing on the ALB's target group Use Amazon Route 53 Application Recovery Controller to start a zonal shift away from the Availability Zone

Create an Amazon Route 53 Application Recovery Controller resource set that uses the DNS hostname of the ALB Start a zonal shift for the resource set away from the Availability Zone

Create an Amazon Route 53 Application Recovery Controller resource set that uses the ARN of the ALB's target group Create a readiness check that uses the ElbV2TargetGroupsCanServeTraffic rule

Create an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store. Use Aurora's automatic recovery capabilities in the event of a disaster.

Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in the secondary Region.

Create an Amazon Aurora cluster in multiple AWS Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two AWS Regions. Use Amazon Route 53 failover routing that points to Application Load Balancers in both Regions. Use health checks and Auto Scaling groups in each Region.

Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region.

Create an AWS CloudFormation template for the application. Define each Lambda function in the template by using the AWS::Lambda::Function resource type. In the template, include a version for the Lambda function by using the AWS::Lambda::Version resource type. Declare the CodeSha256 property. Configure an AWS::Lambda::Alias resource that references the latest version of the Lambda function.

Create an AWS Serverless Application Model (AWS SAM) template for the application. Define each Lambda function in the template by using the AWS::Serverless::Function resource type. For each function, include configurations for the AutoPublishAlias property and the DeploymentPreference property. Configure the deployment configuration type to LambdaCanary10Percent10Minutes.

Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeBuild project to deploy the AWS Serverless Application Model (AWS SAM) template. Upload the template and source code to the CodeCommit repository. In the CodeCommit repository, create a buildspec.yml file that includes the commands to build and deploy the SAM application.