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Google Professional-Cloud-Architect Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Architect
Exam Name:
Google Certified Professional - Cloud Architect (GCP)
Certification:
Google Cloud Certified
Vendor:
Google
Questions:
333
Last Updated:
Feb 26, 2026
Exam Status:
Stable
Google Professional-Cloud-Architect

Professional-Cloud-Architect: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Certified Professional - Cloud Architect (GCP) Questions and Answers

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Question 1

Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table.

Any logs older than 45 days should be removed. You want to optimize storage and follow Google recommended practices. What should you do?

Options:

A.

Configure the expiration time for your tables at 45 days

B.

Make the tables time-partitioned, and configure the partition expiration at 45 days

C.

Rely on BigQuery’s default behavior to prune application logs older than 45 days

D.

Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days

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Question 2

For this question, refer to the JencoMart case study.

The migration of JencoMart’s application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)

Options:

A.

A single VPN tunnel, which limits throughput

B.

A tier of Google Cloud Storage that is not suited for this task

C.

A copy command that is not suited to operate over long distances

D.

Fewer virtual machines (VMs) in GCP than on-premises machines

E.

A separate storage layer outside the VMs, which is not suited for this task

F.

Complicated internet connectivity between the on-premises infrastructure and GCP

Question 3

For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

Options:

A.

Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.

B.

Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

C.

Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

D.

Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.

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