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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:
Vendor:
Questions:
333
Last Updated:
May 31, 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

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 Dress4Win case study.

Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

Options:

A.

Identify self-contained applications with external dependencies as a first move to the cloud.

B.

Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.

C.

Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.

D.

Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.

Question 3

For this question, refer to the TerramEarth case study.

TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

Options:

A.

Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.

B.

Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.

C.

Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

D.

Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.