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[Hardware] Clear Professional-Cloud-Developer Exam & Exam Dumps Professional-Cloud-Deve

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【Hardware】 Clear Professional-Cloud-Developer Exam & Exam Dumps Professional-Cloud-Deve

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Google Certified Professional - Cloud Developer Sample Questions (Q207-Q212):NEW QUESTION # 207
You recently migrated a monolithic application to Google Cloud by breaking it down into microservices. One of the microservices is deployed using Cloud Functions. As you modernize the application, you make a change to the API of the service that is backward-incompatible. You need to support both existing callers who use the original API and new callers who use the new API. What should you do?
  • A. Re-deploy the Cloud Function after making code changes to support the new API. Requests for both versions of the API are fulfilled based on a version identifier included in the call.
  • B. Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API. Use a load balancer to distribute calls between the versions.
  • C. Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API. Use Cloud Endpoints to provide an API gateway that exposes a versioned API.
  • D. Leave the original Cloud Function as-is and deploy a second Cloud Function that includes only the changed API. Calls are automatically routed to the correct function.
Answer: A

NEW QUESTION # 208
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?
  • A. The Cloud Shell is not part of the same VPC as the GKE cluster.
  • B. Your user account does not have privileges to interact with the cluster using kubectl.
  • C. A VPC firewall is blocking access to the cluster's endpoint.
  • D. Your Cloud Shell external IP address is not part of the authorized networks of the cluster.
Answer: D
Explanation:
https://cloud.google.com/kuberne ... lusters#cloud_shell If you want to use Cloud Shell to access the cluster, you must add the public IP address of your Cloud Shell to the cluster's list of authorized networks.

NEW QUESTION # 209
You have an on-premises application that authenticates to the Cloud Storage API using a user-managed service account with a user-managed key. The application connects to Cloud Storage using Private Google Access over a Dedicated Interconnect link. You discover that requests from the application to access objects in the Cloud Storage bucket are failing with a 403 Permission Denied error code. What is the likely cause of this issue?
  • A. The Interconnect link from the on-premises data center to Google Cloud is experiencing a temporary outage.
  • B. The permissions of the service account's predefined role have changed.
  • C. The folder structure inside the bucket and object paths have changed.
  • D. The service account key has been rotated but not updated on the application server.
Answer: D

NEW QUESTION # 210
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?
  • A. Retrieve the messages with a Dataflow streaming pipeline, store them in Cloud Bigtable, and use another Dataflow streaming pipeline to deduplicate messages.
  • B. Process the messages with a Cloud Function, and write the results to a BigQuery location where you can run a job to deduplicate the data.
  • C. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO package, and write the output to storage.
  • D. Process the messages with a Dataproc job, and write the output to storage.
Answer: C
Explanation:
Explanation
https://cloud.google.com/dataflo ... g-with-cloud-pubsub

NEW QUESTION # 211
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?
  • A. Use Cloud Build to package the application, and deploy to a Google Kubernetes Engine cluster. Use namespaces to separate the environments.
  • B. Use Cloud Build to deploy the application as a new Compute Engine image for each build. Use this image in each environment.
  • C. Deploy the application using MS Web Deploy, and make sure to always use the latest, patched MS Windows Server base image in Compute Engine.
  • D. Rewrite the application using .NET Core, and deploy to Cloud Run. Use revisions to separate the environments.
Answer: B
Explanation:
Explanation
https://cloud.google.com/archite ... #phase_1_rehost_in_
https://cloud.google.com/archite ... ations-google-cloud

NEW QUESTION # 212
......
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