Free Access Google.Professional-Cloud-Developer.v2022-09-07.q100 Practice Test (Page 10)

Question 41

Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH. What should you do next?

A.Reboot the machine.

B.Take a snapshot of the disk and attach it to a new machine.

C.Delete the machine and create a new one.

D.Enable and check the serial port output.

Question 42

Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A.Include multiple rows with each request.

B.Perform the inserts in parallel by creating multiple threads.

C.Write each row to a Cloud Storage object, then load into BigQuery.

D.Write each row to a Cloud Storage object in parallel, then load into BigQuery.

Question 43

Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

A.1. Enable Cloud SQL and Cloud Run in the same project.
2. Configure a private IP address for Cloud SQL. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Configure Cloud Run to use the connector to connect to Cloud SQL.

B.1. Install PostgreSQL on a Compute Engine virtual machine (VM), and enable Cloud Run in the same project.
2. Configure a private IP address for the VM. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Configure Cloud Run to use the connector to connect to the VM hosting PostgreSQL.

C.1. Use Cloud SQL and Cloud Run in different projects.
2. Configure a private IP address for Cloud SQL. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to connect to Cloud SQL.

D.1. Install PostgreSQL on a Compute Engine VM, and enable Cloud Run in different projects.
2. Configure a private IP address for the VM. Enable private services access.
3. Create a Serverless VPC Access connector.
4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to access the VM hosting PostgreSQL

Question 44

You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?

A.Retry the failures in batch after a set number of failures is logged.

B.Retry each failure at a set time interval up to a maximum number of times.

C.Retry each failure at increasing time intervals up to a maximum number of tries.

D.Retry each failure at decreasing time intervals up to a maximum number of tries.

Question 45

Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

A.kubectl exec -it [PARAM] journalctl

B.gcloud logging read [PARAM]

C.gcloud compute ssh [PARAM] --command= "sudo journalctl"

D.kubectl logs [PARAM]

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