CertsTopics Logo

Pre-Summer Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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 22, 2026
Exam Status:
Stable
Google Professional-Cloud-Architect

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

Are you worried about passing the Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) exam? Download the most recent Google Professional-Cloud-Architect braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-Architect exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-Architect exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-Architect exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Certified Professional - Cloud Architect (GCP)) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-Architect test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-Architect practice exam demo.

Get Professional-Cloud-Architect Full Access

Related Google Exams

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

Get Free Professional-Cloud-Architect Questions and Answers
Question 1

For this question, refer to the JencoMart case study.

JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

Options:

A.

Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).

B.

Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.

C.

Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs

D.

Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

Buy Now
Question 2

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.

Question 3

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

Get Free Professional-Cloud-Architect Questions and Answers