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: Jan 15, 2026

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Question 1

Which database is recommended if the amount of information to be stored is greater than 10 TB?

A : Firestore

B : Cloud SQL

C : Cloud Spanner

D : Bigtable

Answer: C

Question 2

You are developing an application that consists of several microservices running in a Google Kubernetes Engine cluster. One microservice needs to connect to a third-party database running on-premises. You need to store credentials to the database and ensure that these credentials can be rotated while following security best practices. What should you do?

A : ore the credentials in a sidecar container proxy. and use it to connect to the third-party database.

B : nfigure a service mesh to allow or restrict traffic from the Pods in your microservice to the database.

C : ore the credentials in an encrypted volume mount, and associate a Persistent Volume Claim with the client Pod.

D : Store the credentials as a Kubemetes Secret, and use the Cloud Key Management Service plugin to handle encryption and decryption

Answer: A

Question 3

What is one advantage of Cloud SQL?

A : It can increase resources to meet application demands.

B : It does not allow for monitoring of resource usage.

C : It increases operational costs.

D : It offers only MySQL databases.

Answer: A

Question 4

The analytics system is currently facing a permission error while executing queries against a BigQuery dataset. The SQL query is executed in batch by passing the contents of a SQL file to the BigQuery CLI, which in turn redirects the output to another process. To resolve this issue, you need to identify the root cause of the permission error and take necessary steps to fix it.

What actions are recommended in this situation?

A : Create a view in BigQuery from an SQL query and SELECT* from the view in the command-line interface.

B : Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.

C : Grant the service account BigQuery Data Viewer and BigQuery Job User roles.

D : Create a new dataset in BigQuery, copy the source table to the new dataset, and query the new dataset and table from the command-line interface.

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: Jan 15, 2026

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