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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:
277
Last Updated:
Dec 9, 2025
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

You need to set up Microsoft SQL Server on GCP. Management requires that there’s no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

Options:

A.

Configure a Cloud SQL instance with high availability enabled.

B.

Configure a Cloud Spanner instance with a regional instance configuration.

C.

Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover

Clustering. Place nodes in different subnets.

D.

Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.

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Question 2

You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction. Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers

Options:

A.

Introduce a green-blue deployment model.

B.

Replace the QA environment with canary releases.

C.

Fragment the monolithic platform into microservices.

D.

Reduce the platform's dependency on relational database systems.

E.

Replace the platform's relational database systems with a NoSQL database.

Question 3

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to

BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an

automated daily basis while managing cost.

What should you do?

Options:

A.

Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.

B.

Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.

C.

Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.

D.

Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

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