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Google Certified Professional - Cloud Developer Sample Questions (Q24-Q29):

NEW QUESTION # 24
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?

A. Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.
B. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.
C. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.
D. Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.

Answer: B

Explanation:
https://cloud.google.com/bigquery/docs/access-control#bigquery

NEW QUESTION # 25
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 Debugger logpoints
B. Cloud Debugger snapshots
C. Cloud Monitoring
D. Cloud Trace

Answer: A

Explanation:
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service

NEW QUESTION # 26
You are developing an application that needs to store files belonging to users in Cloud Storage. You want each user to have their own subdirectory in Cloud Storage. When a new user is created, the corresponding empty subdirectory should also be created. What should you do?

A. Create an object with the name of the subdirectory ending with a trailing slash ('/') that is zero bytes in length.
B. Create an object with the name of the subdirectory that is zero bytes in length and has WRITER access control list permission.
C. Create an object with the name of the subdirectory, and then immediately delete the object within that subdirectory.
D. Create an object with the name of the subdirectory that is zero bytes in length. Set the Content-Type metadata to CLOUDSTORAGE_FOLDER.

Answer: A

Explanation:
Explanation
https://cloud.google.com/storage/docs/folders
If you create an empty folder using the Google Cloud console, Cloud Storage creates a zero-byte object as a placeholder. For example, if you create a folder called folder in a bucket called my-bucket, a zero- byte object called gs://my-bucket/folder/ is created. This placeholder is discoverable by other tools when listing the objects in the bucket, for example when using the gsutil ls command.

NEW QUESTION # 27
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 that includes only the changed API. Calls are automatically routed to the correct function.
D. 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.

Answer: A

Explanation:
Reference: https://cloud.google.com/endpoints/docs/openapi/versioning-an-api

NEW QUESTION # 28
Your team currently uses Bigtable as their database backend. In your application's app profile, you notice that the connection to the Bigtable cluster is specified as single-cluster routing, and the cluster's connection logic is configured to conduct manual failover when the cluster is unavailable.
You want to optimize the application code to have more efficient and highly available Bigtable connectivity. What should you do?

A. Configure a Dataflow template, and use a Beam connector to stream data changes.
B. Increase the Bigtable client's connection pool size.
C. Set up Memcached so that queries hit the cache layer first and automatically get data from Bigtable in the event of a cache miss.
D. Configure the app profile to use multi-cluster routing.

Answer: D

Explanation:
https://cloud.google.com/bigtable/docs/replication-settings

NEW QUESTION # 29
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