Professional-Cloud-Developer 試験問題を無料オンラインアクセス

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 an exponential backoff process around the client library call.
• C.Write a one-second wait time backoff process around the client library call.
• D.Design a retry button in the application and ask users to click if the error occurs.

You are creating and running containers across different projects in Google Cloud. The application you are developing needs to access Google Cloud services from within Google Kubernetes Engine (GKE). What should you do?

• A.Use a Google service account to run the Pod with Workload Identity.
• B.Store the Google service account credentials as a Kubernetes Secret.
• C.Use a Google service account with GKE role-based access control (RBAC).
• D.Assign a Google service account to the GKE nodes.

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process, you are planning to make frequent changes to the application's source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:
- Test frequent local changes automatically.
- Local deployment emulates production deployment.
Which tools should you use to test building and running a container on your laptop using minimal resources?

• A.kaniko and Tekton
• B.Terraform and kubeadm
• C.Minikube and Skaffold
• D.Docker Compose and dockerd

You are defining your system tests for an application running in Cloud Run in a Google Cloud project. You need to create a testing environment that is isolated from the production environment. You want to fully automate the creation of the testing environment with the least amount of effort and execute automated tests. What should you do?

• A.Using Cloud Build, execute Terraform scripts to create a new Google Cloud project and a Cloud Run instance of your application in the Google Cloud project.
• B.Using Cloud Build, execute gcloud commands to deploy a new Cloud Run revision in the existing Google Cloud project. Use traffic splitting to send traffic to your test environment.
• C.Using Cloud Build, execute a Terraform script to deploy a new Cloud Run revision in the existing Google Cloud project. Use traffic splitting to send traffic to your test environment.
• D.Using Cloud Build, execute gcloud commands to create a new Google Cloud project and a Cloud Run instance of your application in the Google Cloud project.

Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

• A.Perform Read-Only transactions.
• B.Perform stale reads using read-write transactions.
• C.Perform stale reads using single-read methods.
• D.Perform strong reads using single-read methods.