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【Hardware】 Unparalleled Real Professional-Cloud-Developer Exam Dumps - Pass Professional-Cl

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Google Certified Professional - Cloud Developer Sample Questions (Q247-Q252):NEW QUESTION # 247
You are migrating a containerized application to Cloud Run. You plan to use Cloud Build to build your container image and push it to Artifact Registry, and you plan to use Cloud Deploy to deploy the image to production. You need to ensure that only secure images are deployed to production.
What should you do?
  • A. Use Cloud Armor in front of Cloud Run to protect the container image from threats.
  • B. Use Binary Authorization to enforce a policy that only allows images that have been signed with a trusted key to be deployed to production.
  • C. Use Secret Manager to store the encrypted image. Deploy this image to production.
  • D. Use Artifact Analysis to scan the image for vulnerabilities. Use Cloud Key Management Service to encrypt the image to be deployed to production.
Answer: B
Explanation:
https://cloud.google.com/run/docs/deploying

NEW QUESTION # 248
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?
  • A. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.
  • B. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.
  • C. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.
  • D. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.
Answer: B
Explanation:
https://cloud.google.com/iap/doc ... ecuring_iap_headers (https://cloud.google.com/endpoin ... ing-users-google-id).
https://cloud.google.com/armor/d ... u%20to%20allow%20or,Private%20Cloud%20(VPC)%20networks
"Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets"

NEW QUESTION # 249
You are writing from a Go application to a Cloud Spanner database. You want to optimize your application's performance using Google-recommended best practices. What should you do?
  • A. Write to Cloud Spanner using a custom gRPC client library.
  • B. Write to Cloud Spanner using Cloud Client Libraries.
  • C. Write to Cloud Spanner using Google API Client Libraries
  • D. Write to Cloud Spanner using a third-party HTTP client library.
Answer: B
Explanation:
Explanation
https://cloud.google.com/apis/docs/cloud-client-libraries
"Cloud Client Libraries are the recommended option for accessing Cloud APIs programmatically, where available. Cloud Client Libraries use the latest client library models"
https://cloud.google.com/apis/docs/client-libraries-explained
https://cloud.google.com/go/docs/reference

NEW QUESTION # 250
You are designing a resource-sharing policy for applications used by different teams in a Google Kubernetes Engine cluster. You need to ensure that all applications can access the resources needed to run. What should you do? (Choose two.)
  • A. Specify the resource limits and requests in the object specifications.
  • B. Create a namespace for each team, and attach resource quotas to each namespace.
  • C. Create a Kubernetes service account (KSA) for each application, and assign each KSA to the namespace.
  • D. Create a LimitRange to specify the default compute resource requirements for each namespace.
  • E. Use the Anthos Policy Controller to enforce label annotations on all namespaces. Use taints and tolerations to allow resource sharing for namespaces.
Answer: B,D
Explanation:
Explanation
https://kubernetes.io/docs/concepts/policy/resource-quotas/
https://kubernetes.io/docs/concepts/policy/limit-range/
https://cloud.google.com/blog/pr ... rce-requests-and-li

NEW QUESTION # 251
You have developed a Python application that you want to containerize and deploy to Cloud Run.
You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?
  • A. Unit tests in the pipeline are failing. Update the application code so that all unit tests pass, and rerun the pipeline.
  • B. The Docker container image has not been pushed to Artifact Registry. Add a step to the pipeline to push the application container image to Artifact Registry, and rerun the pipeline.
  • C. The final step uses a Cloud Run instance name that does not match the container name. Update the deployment step so that the Cloud Run instance name matches the container name, and rerun the pipeline.
  • D. Cloud Run does not allow unauthenticated invocations. Remove the --allow-unauthenticated parameter to enforce authentication on the application, and rerun the pipeline.
Answer: B
Explanation:
The pipeline steps in the image show that the Docker image is built, but there is no step to push the built image to Artifact Registry. Cloud Run requires the container image to be in a registry (such as Artifact Registry or Container Registry) before it can be deployed. Adding a step to push the container image to Artifact Registry after it is built will make the image available for deployment, allowing the final step to deploy the application to Cloud Run successfully.

NEW QUESTION # 252
......
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