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Google Professional-Cloud-Architect exam : Google Certified Professional - Cloud Architect (GCP)

Professional-Cloud-Architect Exam Questions
  • Exam Code: Professional-Cloud-Architect
  • Exam Name: Google Certified Professional - Cloud Architect (GCP)
  • Updated: Oct 21, 2026
  • Q & A: 353 Questions and Answers
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Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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

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Section #2. Handling the solution’s infrastructure

The key knowledge area covered in this domain includes the development of an on-premises environment, designing a setup with multiple clouds, security concepts, and storage space allotment for diverse data.

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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing and provisioning solution infrastructure15%- Configuring network topologies and connectivity
  • 1. VPC design, peering, and hybrid connectivity
  • 2. Load balancing and CDN configuration
- Provisioning and managing compute resources
  • 1. VMs, GKE, App Engine, Cloud Run deployment and management
  • 2. Auto-scaling and resource management
- Managing storage and data services
  • 1. Database deployment, replication, and backup
  • 2. Cloud Storage, Filestore, Persistent Disk management
Topic 2: Designing for security and compliance17.5%- Enforcing compliance and governance
  • 1. VPC Service Controls and security perimeters
  • 2. Security controls, auditing, and logging
- Implementing identity and access management
  • 1. IAM roles, permissions, and service accounts
  • 2. Organizational policies and resource hierarchy
- Securing data and communications
  • 1. Key management and secret security
  • 2. Encryption at rest and in transit
Topic 3: Designing and planning a cloud solution architecture25%- Evaluating and selecting Google Cloud services
  • 1. Serverless and managed service adoption
  • 2. Compute, storage, database, and networking service selection
- Designing cloud solution infrastructure aligned with business requirements
  • 1. Cost optimization strategies
  • 2. Scalability, high availability, and fault tolerance design
  • 3. Compliance and regulatory requirements consideration
- Planning cloud migration and hybrid/multi-cloud environments
  • 1. Migration planning and execution
  • 2. Data transfer and synchronization
  • 3. Interoperability and integration design
Topic 4: Managing implementation12.5%- Using Google Cloud tools and APIs programmatically
  • 1. Cloud SDK, Cloud Shell, and Cloud Code
  • 2. Infrastructure as Code (Terraform, Deployment Manager)
- Guiding development and deployment teams
  • 1. CI/CD pipelines and automation
  • 2. Application and infrastructure deployment strategies
- Testing and validating solutions
  • 1. Functional, performance, and security testing
  • 2. Disaster recovery and failover testing
Topic 5: Analyzing and optimizing technical and business processes15%- Improving reliability and performance
  • 1. SLO, SLA, and error budgeting
  • 2. Latency reduction and throughput optimization
- Optimizing cost and resource efficiency
  • 1. Committed use discounts and pricing models
  • 2. Resource right-sizing and usage monitoring
- Streamlining operational workflows
  • 1. Change management and incident response
  • 2. Stakeholder communication and alignment
Topic 6: Ensuring solution and operations excellence12.5%- Implementing monitoring, logging, and observability
  • 1. Cloud Monitoring, Logging, and Error Reporting
  • 2. Alerting, dashboarding, and root cause analysis
- Planning for continuous improvement
  • 1. Technology updates and architecture evolution
  • 2. Feedback loops and optimization cycles
- Applying Well-Architected Framework principles
  • 1. Operational excellence, reliability, security, cost, and performance pillars

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

Question #1

You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?

  • A. Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.
  • B. In the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.
  • C. Use gcloud sql instances restart.
  • D. In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubect1 to restart all pods.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

  • A. Schedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.
  • B. Schedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.
  • C. Write a lifecycle management rule in XML and push it to the bucket with gsutil.
  • D. Write a lifecycle management rule in JSON and push it to the bucket with gsutil.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

You are the cloud architect for a team developing a new application that integrates with the Gemini API. You observe a sudden, massive spike in API costs and usage. An investigation reveals that a developer accidentally committed a service account key with Gemini API access to a public GitHub repository, and a malicious actor is using it. The on-call SRE immediately disabled the key, stopping the unauthorized usage.
Your responsibility is to lead the post-incident review to prevent future credential leaks. What should you do?

  • A. Immediately migrate all applications to use Workload Identity Federation to access Google Cloud APIs from GitHub Actions, eliminating all service account keys from your CI/CD process.
  • B. Initiate a formal disciplinary review for the developer who committed the key. Mandate that all future pull requests must be manually approved by a security team member before being merged.
  • C. Schedule a blameless postmortem with the engineering team to map the incident timeline.Collaboratively identify gaps in the development workflow, and assign action items to implement automated pre-commit hooks and a CI/CD pipeline stage for secret scanning.
  • D. Write a report detailing the financial impact of the unauthorized use of the service account key. Work with the finance department to track the costs and create a policy to bill the responsible team for any future cost overruns caused by credential leaks.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?

  • A. Load data into Google BigQuery.
  • B. Stream data into Google Cloud Datastore.
  • C. Put flat files into Google Cloud Storage.
  • D. Insert data into Google Cloud SQL.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

  • A. Google Container Engine, Jenkins, and Helm
  • B. Google Container Engine and Cloud Load Balancing
  • C. Google Compute Engine and Cloud Deployment Manager
  • D. Google Compute Engine, Jenkins, and Cloud Load Balancing
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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