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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:
Apr 1, 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

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

Options:

A.

Tests should scale well beyond the prior approaches.

B.

Unit tests are no longer required, only end-to-end tests.

C.

Tests should be applied after the release is in the production environment.

D.

Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.

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Question 2

You have broken down a legacy monolithic application into a few containerized RESTful microservices. You want to run those microservices on Cloud Run. You also want to make sure the services are highly available with low latency to your customers. What should you do?

Options:

A.

Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTIP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.

B.

Deploy Cloud Run services to multiple regions Create serverless network endpoint groups pointing to the services. Add the serverless NE Gs to a backend service that is used by a global HTIP(S) Load Balancing instance.

C.

Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.

D.

Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.

Question 3

For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?

Options:

A.

Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.

B.

Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.

C.

Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage

bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.

D.

Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.

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