Google Cloud: Professional Cloud Architect (PR000213) Exam Questions & Study Guide

Certification Exams

Number Of Questions

334 Questions Answers with Explanation

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Description

Exam Name: Google Cloud Architect Professional
Exam Code: Professional Cloud Architect  (PR000213)
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 120 Minutes
Number of Professional Cloud Architect practice questions in our database: 334 Questions Answers with Explanation 

Expected Professional Cloud Architect (PR000213) Exam Topics, as suggested by Google :

At Certs4Success, we provide the most accurate and up-to-date preparation materials for the Google Professional Cloud Architect certification. Our content is professionally curated to ensure you master the critical architecture patterns required to design, develop, and manage robust, secure, and scalable cloud solutions.


Topic 1: Configuration and Setup

To begin with, candidates must master organizational settings and resource hierarchy to ensure proper fiscal and operational alignment. Furthermore, you will learn to manage user identities and declarative configurations within the cloud interface to maintain a standardized environment. Consequently, these setup skills allow you to establish a secure and well-governed foundation for any enterprise-scale deployment.

Topic 2: Object Manager and App Builder

To start with, this section focuses on the standard object architecture and the complex relationship models required for effective data structuring. In addition to this, you will learn to personalize fields and implement productivity features across both standard and custom objects. As a result, you can build tailored applications that streamline business processes and enhance overall user efficiency.

Topic 3: Service and Support Applications

To begin with, you will explore the full capabilities of case management to ensure high-quality technical support and issue resolution. Moreover, the syllabus covers the identification and implementation of automated case management tools for faster response times. Ultimately, mastering these support features ensures that your cloud architecture remains resilient and highly responsive to end-user needs.

Topic 4: Productivity and Collaboration

To begin with, candidates must understand the core capabilities of activity management to foster seamless collaboration across technical teams. Furthermore, you will learn to integrate tools that track progress and manage shared resources within the Google Cloud ecosystem. Consequently, these collaboration features allow you to maintain high team velocity and project transparency throughout the development lifecycle.

Topic 5: Data and Analytics Management

To start with, this topic covers the critical considerations for importing, exporting, and backing up massive datasets while maintaining data integrity. Additionally, you will learn to use data validation tools and create customized reports to generate actionable business intelligence. As a result, you can architect data solutions that are both highly secure and capable of driving informed decision-making.

Topic 6: Workflow and Process Automation

To begin with, you will learn to identify the most effective automation solutions based on specific business requirements and tool capabilities. Moreover, the section covers deep-dive use cases for Flow and approval processes to eliminate manual bottlenecks in your architecture. Ultimately, mastering these automation techniques ensures your cloud environment is self-sustaining, efficient, and infinitely scalable.


Why Trust Certs4Success.com?

  • Verified Success: Our materials are 100% updated for the 2026 Professional Cloud Architect exam standards.

  • Expert Insight: Every module includes real-world architectural scenarios and deep-dive technical explanations.

  • High Pass Rates: Join thousands of successful architects who passed their Google Cloud exams using our proven methods.

Description

Exam Name: Google Cloud Architect Professional
Exam Code: Professional Cloud Architect  (PR000213)
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 120 Minutes
Number of Professional Cloud Architect practice questions in our database: 334 Questions Answers with Explanation 

Expected Professional Cloud Architect (PR000213) Exam Topics, as suggested by Google :

At Certs4Success, we provide the most accurate and up-to-date preparation materials for the Google Professional Cloud Architect certification. Our content is professionally curated to ensure you master the critical architecture patterns required to design, develop, and manage robust, secure, and scalable cloud solutions.


Topic 1: Configuration and Setup

To begin with, candidates must master organizational settings and resource hierarchy to ensure proper fiscal and operational alignment. Furthermore, you will learn to manage user identities and declarative configurations within the cloud interface to maintain a standardized environment. Consequently, these setup skills allow you to establish a secure and well-governed foundation for any enterprise-scale deployment.

Topic 2: Object Manager and App Builder

To start with, this section focuses on the standard object architecture and the complex relationship models required for effective data structuring. In addition to this, you will learn to personalize fields and implement productivity features across both standard and custom objects. As a result, you can build tailored applications that streamline business processes and enhance overall user efficiency.

Topic 3: Service and Support Applications

To begin with, you will explore the full capabilities of case management to ensure high-quality technical support and issue resolution. Moreover, the syllabus covers the identification and implementation of automated case management tools for faster response times. Ultimately, mastering these support features ensures that your cloud architecture remains resilient and highly responsive to end-user needs.

Topic 4: Productivity and Collaboration

To begin with, candidates must understand the core capabilities of activity management to foster seamless collaboration across technical teams. Furthermore, you will learn to integrate tools that track progress and manage shared resources within the Google Cloud ecosystem. Consequently, these collaboration features allow you to maintain high team velocity and project transparency throughout the development lifecycle.

Topic 5: Data and Analytics Management

To start with, this topic covers the critical considerations for importing, exporting, and backing up massive datasets while maintaining data integrity. Additionally, you will learn to use data validation tools and create customized reports to generate actionable business intelligence. As a result, you can architect data solutions that are both highly secure and capable of driving informed decision-making.

Topic 6: Workflow and Process Automation

To begin with, you will learn to identify the most effective automation solutions based on specific business requirements and tool capabilities. Moreover, the section covers deep-dive use cases for Flow and approval processes to eliminate manual bottlenecks in your architecture. Ultimately, mastering these automation techniques ensures your cloud environment is self-sustaining, efficient, and infinitely scalable.


Why Trust Certs4Success.com?

  • Verified Success: Our materials are 100% updated for the 2026 Professional Cloud Architect exam standards.

  • Expert Insight: Every module includes real-world architectural scenarios and deep-dive technical explanations.

  • High Pass Rates: Join thousands of successful architects who passed their Google Cloud exams using our proven methods.

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Q1. Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

A.1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.

B. . Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.

C. 1. Activate billing export into BigQuery. 2. Perform a BigQuery query on the billing table to extract the information you need.

D. 1. In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. 2. Open the Billing page of the project .3. Select Reports. 4. Select BigQuery as the product and filter by the user you want to check.

Correct Answer: C

Q2. You are configuring the cloud network architecture for a newly created project m Google Cloud that will host applications in Compote Engine Compute Engine virtual machine instances will be created in two different subnets (sub-a and sub-b) within a single region * Instances in sub-a win have public IP addresses * Instances in sub-b will have only private IP addresses To download updated packages, instances must connect to a public repository outside the boundaries of Google Cloud You need to allow sub-b to access the external repository. What should you do?

A.Enable Private Google Access on sub-b

B. Configure Cloud NAT and select sub b m the NAT mapping section

C. Configure a bastion host instance in sub a to connect to instances in sub-b

D. Enable Identity Aware Proxy for TCP forwarding for instances in sub-b

Correct Answer: B

Q3. You are working at an institution that processes medical dat a. You are migrating several workloads onto Google Cloud. Company policies require all workloads to run on physically separated hardware, and workloads from different clients must also be separated You created a sole-tenant node group and added a node for each client. You need to deploy the workloads on these dedicated hosts. What should you do?

A.Add the node group name as a network tag when creating Compute Engine instances in order to host each workload on the correct node group.

B. Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.

C. Use node affinity labels based on the node group name when creating Compute Engine instances in order to host each workload on the correct node group

D. Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node.

Correct Answer: C

Q4. Your company has an application that is running on multiple instances of Compute Engine. It generates 1 TB per day of logs. For compliance reasons, the logs need to be kept for at least two years. The logs need to be available for active query for 30 days. After that, they just need to be retained for audit purposes. You want to implement a storage solution that is compliant, minimizes costs, and follows Google-recommended practices. What should you do?

A.A1. Install the Cloud Ops agent on all instances. 2. Create a sink to export logs into a partitioned BigQuery table. 3. Set a time_partitioning_expiration of 30 days.

B. 1. Install the Cloud Ops agent on all instances. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month. 4. Configure a retention policy at the bucket level to create a lock.

C. C1. Create a daily cron job, running on all instances, that uploads logs into a partitioned BigQuery table. 2. Set a time_partitioning_expiration of 30 days.

D. D1. Write a daily cron job, running on all instances, that uploads logs into a Cloud Storage bucket. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month.

Correct Answer: B

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