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  1. Home
  2. Google Certification
  3. Professional-Cloud-Developer Exam
  4. Google.Professional-Cloud-Developer.v2026-10-05.q375 Dumps
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Question 286

Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?

Correct Answer: B
Explanation
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups#type Alternatively, if an automated update is potentially too disruptive, you can choose to perform an opportunistic update. The MIG applies an opportunistic update only when you manually initiate the update on selected instances or when new instances are created. New instances can be created when you or another service, such as an autoscaler, resizes the MIG. Compute Engine does not actively initiate requests to apply opportunistic updates on existing instances.
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Question 287

You have an application running in production on Cloud Run. Your team needs to change one of the application's services to return a new field. You want to test the new revision on 10% of your clients using the least amount of effort. What should you do to keep your service backward compatible?

Correct Answer: C
Backward Compatibility: By updating the current service and deploying the new revision without allocating traffic initially, you ensure that the current functionality remains intact for all users.
Traffic Splitting: After deployment, you can easily configure traffic splitting between the current service and the new revision, allowing you to test the new field with 10% of your clients while the majority continue using the stable version.
Ease of Implementation: This approach minimizes disruptions and allows you to control the rollout gradually, which is essential for testing and validation.
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Question 288

You have decided to migrate your Compute Engine application to Google Kubernetes Engine. You need to build a container image and push it to Artifact Registry using Cloud Build. What should you do? (Choose two.) A) Run gcloud builds submit in the directory that contains the application source code.
B)
Run gcloud run deploy app-name --image gcr.io/$PROJECT_ID/app-name in the directory that contains the application source code.
C)
Run gcloud container images add-tag gcr.io/$PROJECT_ID/app-name gcr.io/$PROJECT_ID/app-name:latest in the directory that contains the application source code.
D)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

E)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

Correct Answer: A,D
https://cloud.google.com/sdk/gcloud/reference/builds/submit
https://cloud.google.com/artifact-registry/docs/configure-cloud-build
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Question 289

Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?

Correct Answer: A
By binding the user identity to the pubsub.publisher and pubsub.subscriber roles at the resource level, you can ensure that each user can only publish and subscribe to their specific Pub/Sub topic and subscription. This allows for granular permissions management and ensures that each user can only access the resources they are authorized to.
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Question 290

Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed.
You want to resolve the issue. What should you do?

Correct Answer: A
https://cloud.google.com/bigquery/docs/access-control#bigquery
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