Free Google Professional-Cloud-Developer Exam Questions

Become Google Certified with updated Professional-Cloud-Developer exam questions and correct answers

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Total 623 Questions | Updated On: Mar 25, 2025

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Question 1

What is the best way to monitor the performance of each integration in a microservice-oriented architecture using Cloud Trace?

A : By implementing Cloud Trace in every single integration

B : By monitoring only the most critical tasks of the app

C : By creating a general performance diagnosis for the entire application

D : By implementing Cloud Trace in each of the services

Answer: D

Question 2

The application on Google Kubernetes Engine (GKE) is currently using a logging library and outputting to standard output. To export the logs to Cloud Logging, including metadata about each request, the simplest method will be used.

What actions are recommended?

A : Change your application's logging library to the Cloud Logging library, and configure your application to export logs to Cloud Logging.

B : Update your application to output logs in JSON format, and include the required metadata in the JSON.

C : Modify your application to output logs in CSV format, and add the necessary metadata to the CSV.

D : Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/log.

Answer: C

Question 3

Your application runs smoothly when tested on a local environment, but its performance significantly degrades when deployed on a Compute Engine instance. Your task is to identify the root cause of the issue.

What actions do you think are appropriate?

A : Use Cloud Profiler to determine which functions within the application take the longest amount of time.

B : Add logging commands to the application and use Cloud Logging to check where the latency problem occurs.

C : Use Cloud Debugger snapshots to look at a point-in-time execution of the application.

D : File a ticket with Cloud Support indicating that the application performs faster locally.

Answer: A

Question 4

You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

A : eate a Cloud Function that consumes the Cloud Monitoring API. Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold

B : vigate to the Cloud Run page in the Google Cloud console, and select the service from the services list. Use the Metrics tab to visualize the number of errors for that revision, and refresh the page daily.

C : eate an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.

D : eate a Cloud Function that consumes the Cloud Monitoring API. Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.

Answer: C

Question 5

The task at hand is to create a microservice-based application on Google Kubernetes Engine (GKE). The application requires access to various Google Cloud APIs. Two of these services must be able to access these APIs.

What is the recommended approach for implementing authentication of these services in the cluster according to Google's best practices?

A : Store the Google service account keys in a central secret management service.

B : Enable Workload Identity in the cluster via the gcloud command-line tool.

C : Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

D : Use the service account attached to the GKE node.

E : Access the Google service account keys from a secret management service.

Answer: C,E

Page: 1 / 125

Total 623 Questions | Updated On: Mar 25, 2025

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