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Google Certified Professional - Cloud Developer Sample Questions (Q222-Q227):

NEW QUESTION # 222
You need to redesign the ingestion of audit events from your authentication service to allow it to handle a large increase in traffic. Currently, the audit service and the authentication system run in the same Compute Engine virtual machine. You plan to use the following Google Cloud tools in the new architecture:
Multiple Compute Engine machines, each running an instance of the authentication service Multiple Compute Engine machines, each running an instance of the audit service Pub/Sub to send the events from the authentication services.
How should you set up the topics and subscriptions to ensure that the system can handle a large volume of messages and can scale efficiently?

A. Create one Pub/Sub topic. Create one push subscription with the endpoint pointing to a load balancer in front of the audit services.
B. Create one Pub/Sub topic. Create one pull subscription to allow the audit services to share the messages.
C. Create one Pub/Sub topic. Create one pull subscription per audit service instance to allow the services to share the messages.
D. Create one Pub/Sub topic per authentication service. Create one push subscription per topic, with the endpoint pointing to one audit service.
E. Create one Pub/Sub topic per authentication service. Create one pull subscription per topic to be used by one audit service.

Answer: B

Explanation:
https://cloud.google.com/pubsub/docs/subscriber "Multiple subscribers can make pull calls to the same
"shared" subscription. Each subscriber will receive a subset of the messages."

NEW QUESTION # 223
Your application team is developing an ecommerce application. Your team has developed a new functionality that has a dependency on a third-party service. This third-party service will be deployed in a few days. However, you have been unable to ensure the reliability of this service.
You need to choose a deployment strategy for the ecommerce application that will avoid disruption and can be rolled back quickly if issues are discovered. What should you do?

A. Deploy the new functionality by using an A/B deployment strategy.
B. Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.
C. Deploy the new functionality to all users by using a blue/green deployment strategy.
D. Gradually roll out the new functionality by using a rolling updates deployment strategy. Start with a small subset of users and increase the number of users over time.

Answer: B

Explanation:
Using a feature flag allows you to control the release of the new functionality independently of the deployment itself. This approach enables you to quickly enable or disable the feature if issues arise with the third-party service, providing a seamless rollback option without requiring redeployment. You can start by enabling the feature for a small subset of users and gradually increase exposure as confidence grows in the third-party service's reliability.
This strategy minimizes disruption to users, avoids potential downtime, and provides fine-grained control over the release, making it an ideal choice for managing dependencies with uncertain reliability.

NEW QUESTION # 224
You are using the Cloud Client Library to upload an image in your application to Cloud Storage. Users of the application report that occasionally the upload does not complete and the client library reports an HTTP 504 Gateway Timeout error. You want to make the application more resilient to errors. What changes to the application should you make?

A. Create a queue for the object and inform the users that the application will try again in 10 minutes.
B. Write a one-second wait time backoff process around the client library call.
C. Design a retry button in the application and ask users to click if the error occurs.
D. Write an exponential backoff process around the client library call.

Answer: D

NEW QUESTION # 225
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

A. 1. Run the following command from a command line: gcloud config set
auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com.
2. Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.
B. 1. Run the following command from a command line: gcloud auth application-default login.
2. In the browser window that opens, authenticate using your personal credentials.
C. 1. Store the service account's key file in JSON format in Hashicorp Vault.
2. Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
D. 1. Download the service account's key file in JSON format, and store it locally on your laptop.
2. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.

Answer: A

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/using-google-cloud-service- account-impersonation-your-terraform-code

NEW QUESTION # 226
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

A. Cloud Trace
B. Cloud Monitoring
C. Cloud Debugger snapshots
D. Cloud Debugger logpoints

Answer: D

Explanation:
https://cloud.google.com/debugger/docs/using/logpoints
After you have deployed or started your application, you can open Cloud Debugger in the Google Cloud console. Cloud Debugger allows you to inject logging into running services without restarting or interfering with the normal function of the service. This can be useful for debugging production issues without having to add log statements and redeploy.

NEW QUESTION # 227
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