Development-Lifecycle-and-Deployment-Architect Salesforce Certified Development Lifecycle and Deployment Architect (SP23) Questions and Answers

 To reduce defects, the architect should recommend increasing the code coverage to 95% and adding more details to the acceptance criteria. Increasing the code coverage can help ensure that the code is thoroughly tested and meets the quality standards. Adding more details to the acceptance criteria can help clarify the requirements and expectations for the functionality. Using the test script to define the test classes or having the test analyst create the test classes are not good practices, as they can introduce errors and inconsistencies in the testing process.

Maintaining separate developer branches for minor and major releases, maintaining a single repository for applications with individual branches for projects, and maintaining a single-entry point for production from the master branch are three best practices that UC should consider for version control. These practices help to:

• Isolate and manage different types of changes in separate branches, such as bug fixes, enhancements, or new features1.
• Organize and track the code and configuration for each application and project in a logical and consistent way2.
• Ensure that the master branch reflects the current state of production and that only tested and approved changes are deployed to production

A single-org strategy is the best option for UC, as it will enable them to achieve business process standardization among all business units, which is the main goal of the CEO. A multi-org strategy would make it harder to enforce consistent processes and policies across the different business units, and would also increase the costs and complexity of managing multiple orgs. A common managed package could help with some aspects of standardization, but it would not cover all the possible scenarios and customizations that UC might need.

Change sets provide an easy way to deploy related components, as they allow the user to select the components from a list and add them to the change set. They also provide a simple and declarative method for deployment, as they do not require any coding or scripting. Change sets do not provide the ability to deploy a very large number of components easily, as they have a limit of 10,000 components per change set. They also do not provide the ability to track changes to components, as they do not have any version control or history features.

The usual symptoms of inadequate negative tests are the ones that indicate that the code is not handling the possible errors or exceptions that may occur in different scenarios. For example, when an Apex batch job runs at a scheduled time, an increased number of Apex execution errors occur over all1, this means that the code is not handling the possible concurrency issues, governor limits, or data quality issues that may arise when the job runs. Similarly, when an Apex process runs into an un-handled exception when an HTTP callout has an unexpected status code in the response body1, this means that the code is not handling the possible network issues, authentication issues, or API errors that may occur when making the callout. Another symptom is when developers constantly ask the testers for a screenshot of the error and the exact steps of reproducing the error1, this means that the code is not logging the error details or providing meaningful error messages to the users. Option A is incorrect because turning to the debug log for details of the failed Apex executions is not a symptom of inadequate negative tests, but a normal practice of debugging the code. Option E is incorrect because the delivered user interfaces are not meeting the expectations of the business users is not a symptom of inadequate negative tests, but a symptom of poor user interface design or incomplete requirements.

Change Sets are a manual way of deploying metadata components between orgs that are affiliated with the same production org. Change Sets cannot be automated, rolled back, or reused between production Salesforce orgs. Change Sets can be validated before deployment, and they can be used for orgs affiliated with the same production org.

 To address the bug in production, the architect should recommend the following approaches: Investigate potential data impacts, fix the bug in a hotfix branch, and seek stakeholder approval for the hotfix. Investigating the data impacts can help assess the severity and scope of the bug, and determine the best course of action to mitigate any data loss or corruption. Fixing the bug in a hotfix branch can help isolate the change and avoid introducing any other changes from the current sprint. Seeking stakeholder approval for the hotfix can help ensure compliance with the regulatory requirements and governance policies.

The recommended mechanism for releasing the application that can be installed in the trading partners’ Salesforce environments is a managed package. A managed package is a collection of application components that can be distributed and installed in other orgs. Managed packages allow you to control the visibility and upgradability of the components, as well as provide namespace isolation and license management. Change sets are not suitable for releasing applications to other orgs, as they can only be used for orgs that are affiliated with the same production org. Unmanaged packages are not ideal for releasing applications that need to be updated frequently, as they do not allow you to push upgrades or control the components after installation. Zip file deployable by SFDX or ANT is not a user-friendly way of releasing applications, as it requires the users to have technical knowledge and tools to install the components.

A and D are the correct answers, as they are the locking behaviors that will occur during a deployment. A is correct, as the production org will be locked and administrators cannot modify metadata during this time, to prevent any conflicts or inconsistencies in the deployment. D is correct, as the production org will be locked and users will still be able to read/write data to the org, to minimize the impact on the business operations and user experience. B is incorrect, as the sandbox org will not be locked and administrators can still modify metadata, as the sandbox org is not the target of the deployment. C is incorrect, as the production org will not be locked and users can only read data during this time, as this would disrupt the business operations and user experience. You can learn more about the locking behaviors in the [Deploy Changes with Change Sets] unit on Trailhead.

The Tooling API is the best choice for the team that wants to use SOQL queries to retrieve and make changes to smaller pieces of Salesforce metadata through their Java application. The Tooling API provides access to metadata objects such as Apex classes, triggers, workflows, validation rules, custom objects, and fields. It also supports CRUD operations, as well as executing anonymous Apex code. The other APIs are not suitable for this use case, as they either deal with larger metadata components (Metadata API), user interface components (User Interface API), or data records (Any Salesforce API).

Implementing a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it is one of the options an architect can recommend to accomplish the customer 360-degree view. This way, the architect can ensure that there is a single source of truth for the customer data, and that the data is consistent and synchronized across the different orgs. Implementing a Single Package multi-org strategy by developing and deploying to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs is another option an architect can recommend, as it allows the architect to create a reusable and scalable solution that can provide a unified view of the customer data from multiple sources. Implementing a Complete Graph multi-org strategy or migrating from multi-org to single-org strategy are not feasible or optimal options, as they can introduce complexity, cost, or risk to the architecture.

The sandbox types that the architect should recommend for batch data testing are Partial Copy sandbox and Full sandbox. These sandbox types allow the testing of large data sets that are similar to the production data. Developer Pro sandbox and Developer sandbox have limited storage and may not be able to accommodate the data needed for the batch data testing.

Implementing the change in the sandbox, validating, and releasing to production and considering that the integration with the ERP system may not function as expected are two considerations when addressing the requirement. The change should be performed in the sandbox first, as it is a best practice to test any changes in a non-production environment before deploying them to production. The change may also affect the integration with the ERP system, as it may require updating the mappings, validations, or transformations between the two systems.

The architect should recommend creating two second generation managed packages with the same namespace and setting the methods that should be shared with the @namespaceAccessible annotation. This will allow the Sales team to access the specific functions of the Service product without exposing them to other teams or customers. Creating two managed packages with different namespaces will not allow the Sales team to access the Service functions, unless they are declared as global, which will expose them to everyone. Creating a managed package with both products will not allow the separation of the products and the control of the functions. Creating an authentication function in the Service package will add unnecessary complexity and overhead to the solution.

When migrating a flow with change sets, the following statements should be considered: When a change set with a multiple versioned flow is uploaded, it includes only the active version of the flow. When a change set with a multiple versioned flow is uploaded, and no active version is available, it includes the most recent inactive version of the flow. These statements are based on the Salesforce documentation on how change sets handle flows with multiple versions. The other statements are incorrect, as they do not reflect the actual behavior of change sets.

To delete metadata with a deploy() call, two things are needed: a package.xml file and a destructiveChanges.xml file. The package.xml file specifies the API version and the components to be deployed, while the destructiveChanges.xml file specifies the components to be deleted. The API version does not have to be the current one, as long as it is compatible with the components. The purgeOnDelete option is not required, as it only determines whether the deleted components are stored in the recycle bin or not.

The best options to enforce code quality in UC’s continuous integration process are to introduce manual code review before deployment to the testing sandbox and to introduce static code analysis before deployment to the testing sandbox. Manual code review can help identify and fix any errors, bugs, or best practices violations in the code. Static code analysis can help check the code quality, complexity, and security using automated tools and standards. Introducing manual code review before deployment to the production org may be too late, as the code may have already caused defects or issues in the testing sandbox. Increasing the size of the testing team assigned to the project may not improve the code quality, as the testing team may not have the skills or authority to review or modify the code. Testing data creation is outside the scope of code quality.

 REST API SObject Tree Request and REST API Composite Request are two ways to insert multiple related records in one call or transaction. REST API SObject Tree Request allows you to create nested records that share a root record. REST API Composite Request allows you to execute a series of REST API requests in a single call. Bulk API 2.0 and Streaming API are not suitable for inserting multiple related records in one call or transaction. Bulk API 2.0 is used for loading large batches of data asynchronously, and Streaming API is used for receiving notifications of data changes in real time.

The most probable reason why none of the sandboxes can be refreshed is that the org has reached the maximum number of active sandboxes allowed by the license. Deleting the full sandbox used for performance testing will free up one sandbox slot and allow the other sandboxes to be refreshed. The Partial Copy sandbox is not the cause of the problem, as it counts as one sandbox slot. Creating a Salesforce support case or contacting the Salesforce Account Team may not resolve the issue in a timely manner.

The evidence that can support the CTO’s claims is a burndown chart showing the team misses their forecast sprint after sprint. This indicates that the team is overcommitting and not able to deliver the work they planned. The definition of done, the Kanban board, and the burndown chart showing the team finishes early are not relevant to the CTO’s claims, as they do not reflect the actual progress and performance of the team.

This is the correct answer because Salesforce prohibits stress testing against production because it is a shared environment that hosts multiple customers and tenants. Stress testing against production may affect the performance and availability of the Salesforce service for other customers and violate the terms of service. Stress testing should be done in a sandbox or a developer edition org that is isolated from production.

The best option is to refactor the approach to the feature in an upgraded sandbox, as this will allow the developer to test the compatibility and functionality of the code with the new platform release. Option A is risky, as Salesforce may not fix the issue before the production upgrade. Option B is not feasible, as changing the API version of the code will not change the platform version of the sandbox. Option C is not recommended, as delaying the upgrade will only postpone the problem and may cause more issues later.

The optimal way to store the service centers as technical reference data is to add them to a custom metadata type. Custom metadata types allow you to create, update, and deploy records that are defined by a custom object. Custom metadata types are similar to list custom settings, but they have some advantages, such as being deployable, queryable, and packageable. Hierarchical custom settings are not suitable for storing multiple records of the same type, and defining a new custom object with a picklist field is unnecessary and inefficient.

 Identifying the relevant data and verifying the data integrity can help ensure the quality and accuracy of the migrated data. Using a full sandbox and performing test runs with real data can help validate the migration process and identify any issues or risks.

The best deployment strategy for UC to use in this environment is to refresh the developer’s sandbox, develop changes, refresh the common sandbox, deploy to the common sandbox, test changes, as this will ensure that the developer’s sandbox has the latest production data and metadata, and that the common sandbox has the latest production data and metadata as well as the developer’s changes, before testing and deploying to production. Option B is not correct, as refreshing the developer’s sandbox after testing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option C is not correct, as refreshing the developer’s sandbox after developing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option D is not correct, as refreshing the common sandbox before developing the changes will make the common sandbox out of sync with the production data and metadata.

 Creating a release calendar, training and aligning all the teams is the best way to avoid conflicts and ensure smooth releases between major, minor, and Salesforce seasonal releases. A release calendar can help the teams plan ahead, coordinate their efforts, and avoid overlapping or conflicting changes. Training and aligning the teams can help them understand the release processes, the best practices, and the expectations for each release type. Gating all release decisions at the center of excellence, sharing the test plans, or creating a spreadsheet of metadata changes are not sufficient or scalable solutions for this problem.

The best practice for moving classes between packages is to set them as deprecated in the source package and recreate them in the target package. This way, the existing subscribers of the source package will not be affected by the change, and the new subscribers of the target package will get the updated classes. Moving the classes directly or changing their names can cause compilation errors and dependency issues.

These are the correct answers because they are essential components of a governance framework that helps to manage the changes and enhancements to the Salesforce application. Requirements management is the process of capturing, analyzing, prioritizing, and tracking the business needs and requests. Change control log is the tool that records and tracks the status of all change requests and approvals. Documentation repository is the central place that stores and organizes all the project artifacts and deliverables. Automated testing and continuous integration are not necessary components of a governance framework, but rather best practices for ensuring the quality and reliability of the code and configuration.

To deploy custom metadata types to production using Metadata API, you need to include the CustomMetadata and CustomField data types. CustomMetadata represents the custom metadata type definition, and CustomField represents the custom metadata type fields. CustomMetadataType and CustomObject are not valid data types for custom metadata types

C is the correct answer, as creating a custom metadata type and including this in your deployment to production is the best way to manage this deployment. A custom metadata type is a metadata component that can store important configuration data, such as custom settings, and can be deployed along with other components, such as Apex classes. A is incorrect, as scripting the deployment of all functionality via the Force.com Migration Tool is not a good way to manage this deployment, as it does not address the issue of deploying the custom settings that hold the configuration data. B is incorrect, as manually deploying and populating custom settings in production using a change set is not a good way to manage this deployment, as it can introduce errors and inconsistencies, as well as require additional steps and permissions. D is incorrect, as manually deploying and populating the custom settings in production prior to the Apex class deployment is not a good way to manage this deployment, as it can create dependency and timing issues, as well as require additional steps and permissions. You can learn more about this topic in the [Custom Metadata Types] module on Trailhead.

A change to a multi-org strategy can be justified by two reasons: launching a new line of business with independent processes and acquiring a company that has its own Salesforce org and operates in a different business with its own set of regulatory requirements. These reasons indicate that the single-org strategy is no longer feasible or optimal, as it would require too much customization, complexity, and compliance. Using Chatter for collaboration among different business units is not a reason to change to a multi-org strategy, as Chatter can work across multiple orgs. Following a unification enterprise architecture operating model is also not a reason to change to a multi-org strategy, as this model implies having orgs with the same processes implemented for each business unit, which is more suitable for a single-org strategy.

B and D are the correct answers, as partner developer edition orgs and developer edition orgs are the appropriate environments for creating a managed package. A managed package is a collection of application components that are locked and versioned, and can be installed and upgraded in multiple orgs. A is incorrect, as developer pro sandbox orgs are not suitable for creating a managed package, as they are copies of a production org that are used for development and testing purposes. C is incorrect, as production orgs with LMA are not suitable for creating a managed package, as they are used for managing the licenses and subscribers of a managed package. You can learn more about this topic in the Package Development Model module on Trailhead.

Escalating and communicating to stakeholders the risk and mitigating it by allocating additional resources or extending the timeline of the project to support the new requirement based on stakeholders’ input are two actions that should be performed to mitigate the risk. These actions help to manage the scope change and ensure that the project is delivered with the expected quality and functionality.

 A and C are the characteristics of an effective communication plan, as they enable feedback, collaboration, and transparency among the stakeholders. B is not a characteristic of an effective communication plan, as it does not account for changes in the stakeholder list or their communication preferences. D is not a characteristic of an effective communication plan, as it limits the information sharing and trust among the stakeholders.

Kanban can help clarify whether value is being delivered to the business by using metrics, like lead time and throughput, which increase transparency. Lead time measures how long it takes to complete a work item from the time it is requested, and throughput measures how many work items are completed in a given time period. These metrics can help the business stakeholders see the progress and performance of the development teams, and align their expectations with the reality. Kanban does not respond to unplanned work and changes by dropping everything and jumping on the new request, as this would disrupt the flow and quality of work. Kanban does not make use of the Salesforce Agile Accelerator, as this is a tool for managing agile projects. Kanban does limit work in progress, but this is not the main reason why it can help clarify whether value is being delivered to the business.

 DOM changes introduced by a release can cause automated browser tests to need updating, as they can affect the way the browser interacts with the web page elements and the selectors used to identify them. New standard fields, metadata schema changes, and new Apex methods are not likely to affect automated browser tests, as they are mostly related to the backend functionality and data model of Salesforce. See [Automated Browser Testing] for more details.

Pairing with the administrator and reviewing each change as it happens is the best way to handle the situation of discovering a Sev0 defect in production. This way, the architect can ensure that the changes are done correctly and quickly, without compromising the quality or security of the application. The architect can also provide guidance and feedback to the administrator, as well as monitor the impact and outcome of the changes. Denying the suggestion, explaining that only developers are certified to make changes, or calling the security team are not advisable actions, as they can delay the resolution of the defect, increase the damage, or create unnecessary conflict.

Integrating an agile issue tracker with software testing and continuous integration tools can provide the following benefits:

• Developers can see automated test statuses that commit on a specific user story, which can help them identify and fix any errors or failures quickly.
• Developers can use the committed code’s build status directly on the user story record, which can help them track the progress and quality of their work.

The best practices to support UC’s new package development strategy are to test developed packages in test environments before installing to production, and to consult the metadata coverage report to identify features supported by packages. Testing packages in test environments can help to ensure the quality and functionality of the packages, as well as to identify and resolve any issues or dependencies before deploying to production. Consulting the metadata coverage report can help to determine which features can be included in packages, and which ones need to be deployed using other methods. Version control still needs to be used, as packages do not manage all the code and configuration, but only the components that are part of the package. Moving everything in the existing codebase to a single monolithic package is not a good practice, as it reduces the modularity, maintainability, and reusability of the code. It is better to create smaller packages that are focused on specific features or functionalities.

The advice that a technical architect should provide in a Change Advisory Board meeting is troubleshooting strategies for deployment issues. This is because the Change Advisory Board is responsible for reviewing and approving changes to the IT environment, and the technical architect should provide guidance on how to resolve any potential problems that may arise during the deployment process1. The other options are not relevant for the Change Advisory Board meeting, as they are more related to the requirements analysis, design, or testing phases of the development lifecycle.

User centered design is a process that involves understanding the user needs, preferences, and behaviors before building the solution. This way, the solution can be tailored to the user’s goals and expectations, and increase the likelihood of adoption and satisfaction. Using Lightning Web Components, stopping development, or sending communication emails are not effective ways to overcome the problem of unused features.

To improve the performance of the development teams, the following ways can be suggested: Define and follow code standards, and implement a sprint review process. Code standards can help ensure consistency, readability, and maintainability of the code, as well as reduce errors and bugs. A sprint review process can help evaluate the work done in each sprint, demonstrate the functionality, and gather feedback from the stakeholders and users.

 The key features of an agile development support tool that an architect should look for are sprint backlog management, product backlog prioritization, and work assignment. These features enable the team to plan, execute, and monitor the sprints effectively and efficiently. Email notifications and Kanban board are not essential features of an agile development support tool, as they can be achieved by other means or tools.

The only condition that would make continuous integration unsuitable for UC is if their Salesforce instance has only standard functionality, as this would mean that there is no need for code deployment or version control. Option A is not a valid reason, as test scripts can be generated and executed as part of the continuous integration process. Option B is not a valid reason, as a full sandbox is not a requirement for continuous integration, and other types of sandboxes can be used instead. Option D is not a valid reason, as there are free or low-cost software tools available for continuous integration, such as Jenkins, Git, and Ant

The optimized order to load the objects is: accounts, contacts, leads, products, opportunities, opportunity line items. This order follows the dependency and relationship rules among the objects, such as: accounts must be loaded before contacts, as contacts are related to accounts; leads must be loaded before opportunities, as opportunities can be converted from leads; products must be loaded before opportunity line items, as opportunity line items are related to products; and opportunities must be loaded before opportunity line items, as opportunity line items are related to opportunities. See [Data Import Order] for more details.

The architect should recommend the use of an automated testing tool daily in all Developer Orgs, and when branches are merged. This strategy allows the team to catch and fix any errors or bugs early in the development cycle, and to ensure that the code is stable and consistent before deployment. Running automated tests only when branches are merged is not sufficient, as it may delay the detection and resolution of issues. Running automated tests only in Full or Partial Copy sandboxes is not advisable, as it may not cover all the scenarios and environments.

QUESTIONNO: 172

Universal Containers (UC) is a large enterprise with a complex system landscape. UC is

currently rolling out new infrastructure and strategies around Salesforce DevOps. Some of the

key feature’s UC is looking to support is rollback of metadata after a deployment, and the

backup and restore of data to help recover from deployment issues, system bugs, or outages in

their downstream systems.

Regulations in the industry mean that UC must be able to provide strategies to recover and

rollback from issues. The regulator has discovered UC is not currently providing these, and must

do so as soon as possible to remain compliant.

What should an architect advise?

A. Salesforce backs up all data and will restore it for customers on request.

B. Evaluate third-party and AppExchange products.

C. Advise stakeholders that rollback is not possible for Salesforce.

D. Custom build a feature rollback and data restore tool for Salesforce

Answer: B

The architect should advise UC to evaluate third-party and AppExchange products that can provide the features they are looking for, such as rollback of metadata and backup and restore of data. Salesforce does not offer these features natively, and building a custom solution can be costly and time-consuming. There are several products available in the market that can help UC meet their regulatory requirements and recover from issues. For example, Gearset is a DevOps tool that can perform metadata rollback and data backup and restore, among other features

 A single org strategy has the benefits of increased ability to collaborate, centralized data location, and consistent processes across the business. These factors can improve efficiency, data quality, and user adoption. A single org strategy may not allow for tailored implementation or fewer inter-dependencies, as different business units may have different requirements and dependencies.

 Automated browser testing and static code quality analysis are two quality assurance techniques that can help minimize defects in software projects, and that an architect should recommend for Universal Containers to incorporate into its overall CI/CD pipeline. Automated browser testing is a technique that involves using tools or frameworks to simulate user interactions with the web application across different browsers and devices, and to verify the functionality and performance of the application. Static code quality analysis is a technique that involves using tools or frameworks to scan the code and detect any violations of the predefined coding rules and best practices, such as syntax errors, security issues, code smells, etc. Business verification testing and stress testing are also quality assurance techniques, but they are not as suitable or relevant for the CI/CD pipeline, as they are more focused on validating the business requirements and the system capacity.

The best deployment tool for UC to use to manage their deployment process in an automated fashion is the Force.com Migration Tool, as it is a command-line tool that uses the Metadata API to deploy components from one org to another, and can be integrated with version control systems and continuous integration servers. Option A is not a good choice, as Workbench is a web-based tool that does not support automation or scripting. Option C is not a good choice, as Change Sets are a point-and-click tool that require manual steps to create and deploy. Option D is not a good choice, as Force.com IDE is a desktop tool that does not support automation or scripting.

This is the correct answer because having developers work in separate branches and merge their changes in a common branch for testing can reduce the risk of overwriting others’ changes and ensure code quality and consistency. Having all developers work in the same branch or in the HEAD may cause conflicts and errors. Not using source control is not a good practice and may result in data loss and lack of version control.

 D is the correct answer, as utilizing automated source control, test, and build systems to test and deploy to production can help to maintain quality and reduce the risk of bugs being introduced to production. Automated systems can ensure that the code is consistent, version-controlled, tested, and validated before deploying to production. A is incorrect, as requiring developers to deploy completed code and unit tests directly to production can introduce errors and conflicts, as well as bypass the testing and validation stages. B is incorrect, as deploying all functionality together can create complexity and dependency issues, as well as delay the release of completed features. C is incorrect, as using a spreadsheet to track approved changes that should be released with change sets can be prone to human errors and inconsistencies, as well as lack of automation and integration. You can learn more about this topic in the Continuous Integration and Continuous Delivery module on Trailhead.

Creating an unmanaged package of the app and deploying it in NTO’s org is the best option for having ETO’s Sales Optimization app in NTO’s Salesforce org in the shortest possible time. An unmanaged package is a collection of components that can be easily installed and customized in another org. Unlike a managed package, an unmanaged package does not have any restrictions or dependencies on the source org, and does not require a security review or approval from Salesforce. Creating a managed package, creating users in ETO’s org, or building the app from scratch in NTO’s org are not as fast or efficient as creating an unmanaged package.

Two software development methodologies that an architect should suggest to solve the issue of visibility are Scrum and Kanban. Scrum is based on the value of openness, which means that the team members and stakeholders share information and feedback regularly and transparently. Kanban is based on the principle of making everything visible, which means that the team uses a visual board to track the progress and status of the work items. Waterfall is not a good methodology for visibility, as it does not allow for frequent communication and feedback. DevOps is not a methodology, but a culture and practice that aims to improve collaboration and delivery across the software development lifecycle.

This is the correct answer because utilizing unit and functional test automation as part of a continuous integration strategy can prevent regression by ensuring that the code and configuration are always tested and validated before deployment. Utilizing the developer console to run test suites is not sufficient and may not cover all the functionality. Utilizing Salesforce Apex Hammer is not a feasible option as it is an internal tool that Salesforce uses to test customer orgs before major releases. Freezing development of new features and re-architecting the system is not a realistic or cost-effective approach to prevent regression.

The best option for the new BU is to use a new stand-alone Salesforce org, not integrated with the others. This will allow the new BU to have flexibility in their business processes, without affecting or being affected by the other BUs. Since the new BU does not share customers with the other BUs, there is no need to integrate with the customer 360-degree view org, which would add complexity and cost. Deploying the new BU in the customer 360-degree view org is not a good idea, as it would create confusion and duplication of data, as well as limit the customization options for the new BU. Using the same Salesforce org of another BU that shares geographical localization with the new BU is also not a good idea, as it would create conflicts and dependencies between the two BUs, as well as reduce the performance and security of the org. Using a new Salesforce org for the new BU, and customizing integration so that it reads and writes customer information from the customer data org is unnecessary and inefficient, as the new BU does not need to access or update the customer data of the other BUs.

The testing of the JavaScript part of the Aura component can be tested in the Jest framework and the Apex controllers can be tested using test classes. The testing can be viewed in the lightning.force.com/c/jasminetests.app URL. The page loads and runs Jasmine test and writes pass/fail information to the screen. The Lightning test service AppExchange package is not required for testing Aura components, but for testing Lightning web components. The $T test helper object is not a valid object for testing Lightning components.

The problem is that UAT is on a preview release and SIT is not. A preview release is a version of Salesforce that contains the features and enhancements that will be available in the next major release. Preview releases are usually available a few weeks before the official release date, and they are assigned to a subset of instances. If UAT and SIT are on different instances, they may have different release versions, which can cause deployment issues. For example, if UAT has a preview release that contains some new metadata types that are not available in SIT, then deploying those metadata types from SIT to UAT will fail. To avoid this problem, the architect should check the Sandbox Preview Guide1 and the Release Notes2 to see if there are any changes that affect the deployment, and refresh and redeploy the sandboxes accordingly. There is a problem, and it is not expected behavior. Using the DX command line instead will not solve the problem, as it will still encounter the same version mismatch. SIT is not on a preview release and UAT is not, as that would not cause any deployment issues.

The best way to ensure that tests execute predictably is to ensure that unit tests generate their own test data, as this will avoid any dependency on the existing data or metadata in the org, which may vary across environments3. Option A is not correct, as ensuring that Record Type IDs match both Production and Sandbox orgs is not a reliable way to ensure test predictability, as Record Type IDs are not guaranteed to be the same across orgs, and may change due to refreshes or deployments4. Option B is not correct, as ensuring executed Apex test run as valid users is not a sufficient way to ensure test predictability, as valid users may have different permissions or profiles across orgs, and may not have access to the required data or metadata5. Option D is not correct, as ensuring unit tests execute with seeAllData=true is not a recommended way to ensure test predictability, as this will make the tests dependent on the existing data in the org, which may not be consistent or isolated.

 The best way to leverage the Metadata API to communicate the metadata components to the release management team is to use unlocked packages. Unlocked packages are a collection of metadata components that can be easily deployed and updated using the Metadata API. They also provide versioning and dependency tracking features that can help ensure the integrity and compatibility of the components. Providing a spreadsheet, a change set, or an audit trail are not effective ways to use the Metadata API, as they do not capture the full metadata information and require manual intervention.

 Implementing a pull request and secure code review will contribute to an improvement of code security by ensuring that the code is checked and approved by another developer before merging to the main branch. Integrating a static code security analysis tool in the CI/CD process will contribute to an improvement of code security by automatically scanning the code for vulnerabilities and enforcing security standards. Hiring a company specialized in secure code review or using two developers to review and fix current code vulnerabilities are not actions that will improve code security, but rather remediate existing security issues.

 Agile development methodology allows for frequent and incremental releases of functional code, which enables stakeholders to provide feedback and validate the requirements. Agile development methodology also embraces changes in the project requirements as the business needs evolve, and adapts to them accordingly.

To track Salesforce metadata throughout the development lifecycle across sandboxes and production, the architect should recommend using an AppExchange or third-party tool that is specialized in Salesforce deployment. These tools can provide features such as version control, dependency analysis, automated testing, and rollback capabilities. Using an Excel sheet to track deployment steps and document the SFDX commands is not a reliable or scalable solution, as it is prone to human errors and does not provide any automation or validation. Using ChangeSet to track deployed customizations is also not a good option, as ChangeSet is limited in the types of metadata it can deploy and does not support versioning or dependency management. Using Salesforce SFDX commands to deploy to different sandboxes is a possible solution, but it requires a high level of technical expertise and does not provide a graphical interface or reporting capabilities.

A product owner is responsible for defining the scope and prioritizing the backlog of the project. A product owner can help the COE manage the scope creep between the different projects by aligning the business goals and ensuring the value delivery. A scrum master, a release manager, and a change manager are not directly involved in scope management.

According to the [Salesforce Performance Testing Guide], performance tests must be run in a sandbox, a business justification must be provided to Salesforce, and performance tests may be run without advanced notice, but Salesforce will not store performance logs. Salesforce does not need to be informed 7 days before starting performance tests, and Salesforce will not monitor test activity to ensure there are no issues with Salesforce Services.