Google Professional-Cloud-Architect Q&A - in .pdf

  • Professional-Cloud-Architect pdf
  • Exam Code: Professional-Cloud-Architect
  • Exam Name: Google Certified Professional - Cloud Architect (GCP)
  • Updated: Oct 23, 2026
  • Q & A: 353 Questions and Answers
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  • Exam Name: Google Certified Professional - Cloud Architect (GCP)
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  • Updated: Oct 23, 2026
  • Q & A: 353 Questions and Answers
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  • Professional-Cloud-Architect Testing Engine
  • Exam Code: Professional-Cloud-Architect
  • Exam Name: Google Certified Professional - Cloud Architect (GCP)
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  • Q & A: 353 Questions and Answers
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Next Certification to Earn

Currently, the highest level in the program for Google involves professional certifications. Therefore, if you have a plan to earn a certificate based on another technology but still within the Google track, you can try out any targeted role like cloud developer or engineer. As a result, you can pick one from the professional-level certification paths below:

  • Data Engineer;
  • Cloud DevOps Engineer;
  • Cloud Security Engineer;
  • Machine Learning Engineer;
  • Cloud Network Engineer;
  • Collaboration Engineer.

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Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

Reference: https://cloud.google.com/certification/cloud-architect

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Introduction to Google Professional Cloud Architect Exam

Google Professional Cloud Architect Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.

After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Architect to their clients and employers.

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Are you still feeling distressed for expensive learning materials? Are you still struggling with complicated and difficult explanations in textbooks? Do you still hesitate in numerous tutorial materials? Google Certified Professional - Cloud Architect (GCP) study guide can help you to solve all these questions. Professional-Cloud-Architect certification training is compiled by many experts over many years according to the examination outline of the calendar year and industry trends. Professional-Cloud-Architect study guide not only apply to students, but also apply to office workers; not only apply to veterans in the workplace, but also apply to newly recruited newcomers.

Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Ensuring solution and operations reliability- Assisting with support
  • 1. Incident response and troubleshooting
  • 2. Capacity planning and scaling
- Evaluating quality control measures
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
- Monitoring/logging/profiling/alerting solution
  • 1. Performance profiling and tracing
  • 2. Cloud Monitoring and Cloud Logging
  • 3. Error reporting and alerting
Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Hybrid and multi-cloud connectivity
  • 2. VPC design and peering
  • 3. Private access and VPN configuration
- Configuring individual storage systems
  • 1. Datastore and Bigtable
  • 2. Cloud SQL and Spanner
  • 3. Cloud Storage configuration
- Configuring compute systems
  • 1. Compute Engine configuration
  • 2. GKE configuration and management
  • 3. Cloud Run and Cloud Functions
Managing implementation- Advising development/operation team(s) to ensure successful deployment
  • 1. Deployment strategies
  • 2. Application development best practices
  • 3. Testing and validation
- Interacting with Google Cloud programmatically
  • 1. Infrastructure as Code (IaC)
  • 2. Cloud SDK and gcloud CLI
  • 3. APIs and client libraries
Designing and planning a cloud solution architecture- Designing solution infrastructure that meets business requirements
  • 1. Integration with existing systems
  • 2. Migration planning
  • 3. Cost optimization
  • 4. Business use cases and product strategy
  • 5. Data and storage architecture
  • 6. Networking and compute resources
- Creating a migration plan
  • 1. Planning data migration
  • 2. Identifying workloads for migration
  • 3. Refactoring and rearchitecting applications
- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity
- Designing network, storage, and compute resources
  • 1. Compute engine selection and configuration
  • 2. GKE cluster and workload design
  • 3. Network design including load balancing and firewall rules
  • 4. Storage options and data lifecycle management
Analyzing and optimizing technical and business processes- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. CI/CD pipeline design
  • 3. Software development lifecycle (SDLC)
- Analyzing and defining business processes
  • 1. Stakeholder communication
  • 2. Cost management and optimization
  • 3. Business KPIs and metrics
Designing for security and compliance- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Regulatory and compliance requirements
  • 3. Audit logging and monitoring
- Designing for security
  • 1. Application security
  • 2. Network security
  • 3. Identity and Access Management (IAM)
  • 4. Data security and encryption

Google Certified Professional - Cloud Architect (GCP) Sample Questions:

Question #1

Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

  • A. Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
  • B. Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
  • C. Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
  • D. Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
Reveal Solution  Discussion  0

Correct Answer: D  πŸ—³οΈ

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Question #2

Your company ' s test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
Which cloud infrastructure should you recommend?

  • A. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
  • B. Google Compute Engine managed instance groups with auto-scaling
  • C. Google App Engine with Google Stackdriver for logging
  • D. Google Compute Engine unmanaged instance groups and Network Load Balancer
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

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Question #3

Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects user information and preferences. Which infrastructure should you recommend? (CHOOSE TWO)

  • A. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
  • B. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
  • C. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
  • D. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
Reveal Solution  Discussion  0

Correct Answer: B,C  πŸ—³οΈ

Explanation: Only visible for Prep4sureExam members. You can sign-up / login (it's free).

Question #4

Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?

  • A. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
  • B. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage.
  • C. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump
  • D. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

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Question #5

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. 1. 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.
  • 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. 1. 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.
  • D. 1. 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.
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

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