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You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur compute costs when new messages arrive. You want to configure the simplest and most efficient architecture What should you do?
HipLocal’s data science team wants to analyze user reviews.
How should they prepare the data?
For this question, refer to the HipLocal case study.
HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?
HipLocal is configuring their access controls.
Which firewall configuration should they implement?
For this question, refer to the HipLocal case study.
A recent security audit discovers that HipLocal’s database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?
HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)
For this question refer to the HipLocal case study.
HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?
For this question, refer to the HipLocal case study.
Which Google Cloud product addresses HipLocal’s business requirements for service level indicators and objectives?
You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?
You have an HTTP Cloud Function that is called via POST. Each submission’s request body has a flat, unnested JSON structure containing numeric and text data. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?
You are a developer at a large organization Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?
A)
Manually copy the photos to webphotos-prod.
B)
Add a startup script in the application’s app.yami file to move the photos from webphotos-staging to webphotos-prod.
C)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
D)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
In order to meet their business requirements, how should HipLocal store their application state?
For this question, refer to the HipLocal case study.
How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?
HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?
HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some
metrics to help them troubleshoot.
What should they do?
For this question, refer to the HipLocal case study.
HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?
HipLocal's.net-based auth service fails under intermittent load.
What should they do?
You are responsible for deploying a new API. That API will have three different URL paths:
• https://yourcompany.com/students
• https://yourcompany.com/teachers
• https://yourcompany.com/classes
You need to configure each API URL path to invoke a different function in your code. What should you do?
You want to use the Stackdriver Logging Agent to send an application's log file to Stackdriver from a Compute Engine virtual machine instance.
After installing the Stackdriver Logging Agent, what should you do first?
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?
You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?
You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell. You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:
You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?
Your development team has been tasked with maintaining a .NET legacy application. The application incurs occasional changes and was recently updated. Your goal is to ensure that the application provides consistent results while moving through the CI/CD pipeline from environment to environment. You want to minimize the cost of deployment while making sure that external factors and dependencies between hosting environments are not problematic. Containers are not yet approved in your organization. What should you do?
You are developing an application that will handle requests from end users. You need to secure a Cloud Function called by the application to allow authorized end users to authenticate to the function via the application while restricting access to unauthorized users. You will integrate Google Sign-In as part of the solution and want to follow Google-recommended best practices. What should you do?
You migrated some of your applications to Google Cloud. You are using a legacy monitoring platform deployed on-premises for both on-premises and cloud-deployed applications. You discover that your notification system is responding slowly to time-critical problems in the cloud applications. What should you do?
You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:
• Load is initiated from multiple parallel threads
• User traffic to the API originates from multiple source IP addresses.
• Load can be scaled up using additional test instances
You want to follow Google-recommended best practices How should you configure the load testing'?
Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?
Your application is composed of a set of loosely coupled services orchestrated by code executed on Compute Engine. You want your application to easily bring up new Compute Engine instances that find and use a specific version of a service. How should this be configured?
You are developing a JPEG image-resizing API hosted on Google Kubernetes Engine (GKE). Callers of the service will exist within the same GKE cluster. You want clients to be able to get the IP address of the service.
What should you do?
TESTED 25 Apr 2024