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

Professional-Cloud-Architect real exams

Exam Code: Professional-Cloud-Architect

Exam Name: Google Certified Professional - Cloud Architect (GCP)

Updated: Nov 13, 2026

Q & A: 353 Questions and Answers

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About Google Professional-Cloud-Architect Exam

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 Certified Professional salary

The average salary of a Google Professional Cloud Architect Certified Expert in

  • England - 115,632 POUND
  • Europe - 135,347 EURO
  • India - 25,42,327 INR
  • United State - 151,247 USD

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

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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Scalability, high availability, and fault tolerance design
  • 2. Compliance and regulatory requirements consideration
  • 3. Cost optimization strategies
- Planning cloud migration and hybrid/multi-cloud environments
  • 1. Interoperability and integration design
  • 2. Data transfer and synchronization
  • 3. Migration planning and execution
Topic 2: Managing implementation12.5%- Testing and validating solutions
  • 1. Disaster recovery and failover testing
  • 2. Functional, performance, and security testing
- Using Google Cloud tools and APIs programmatically
  • 1. Infrastructure as Code (Terraform, Deployment Manager)
  • 2. Cloud SDK, Cloud Shell, and Cloud Code
- Guiding development and deployment teams
  • 1. Application and infrastructure deployment strategies
  • 2. CI/CD pipelines and automation
Topic 3: 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. Organizational policies and resource hierarchy
  • 2. IAM roles, permissions, and service accounts
- Securing data and communications
  • 1. Key management and secret security
  • 2. Encryption at rest and in transit
Topic 4: 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. Auto-scaling and resource management
  • 2. VMs, GKE, App Engine, Cloud Run deployment and management
- Managing storage and data services
  • 1. Database deployment, replication, and backup
  • 2. Cloud Storage, Filestore, Persistent Disk management
Topic 5: 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
- Applying Well-Architected Framework principles
  • 1. Operational excellence, reliability, security, cost, and performance pillars
- Planning for continuous improvement
  • 1. Technology updates and architecture evolution
  • 2. Feedback loops and optimization cycles
Topic 6: Analyzing and optimizing technical and business processes15%- Streamlining operational workflows
  • 1. Stakeholder communication and alignment
  • 2. Change management and incident response
- Improving reliability and performance
  • 1. SLO, SLA, and error budgeting
  • 2. Latency reduction and throughput optimization
- Optimizing cost and resource efficiency
  • 1. Resource right-sizing and usage monitoring
  • 2. Committed use discounts and pricing models

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

Question #1

You are deploying a PHP App Engine Standard service with SQL as the backend. You want to minimize the number of queries to the database.
What should you do?

  • A. Set the memcache service level to shared. Create a key called "cached-queries", and return database values from the key before using a query to Cloud SQL.
  • B. Set the memcache service level to dedicated. Create a key from the hash of the query, and return database values from memcache before issuing a query to Cloud SQL.
  • C. Set the memcache service level to shared. Create a cron task that runs every minute to save all expected queries to a key called "cached-queries".
  • D. Set the memcache service level to dedicated. Create a cron task that runs every minute to populate the cache with keys containing query results.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

Your company has an application running on Compute Engine mat allows users to play their favorite music.
There are a fixed number of instances Files are stored in Cloud Storage and data is streamed directly to users.
Users are reporting that they sometimes need to attempt to play popular songs multiple times before they are successful. You need to improve the performance of the application. What should you do?

  • A. 1. Create a Cloud Filestore NFS volume and attach it to the backend Compute Engine instances
    2. Download popular songs in Cloud Filestore
    3. Serve music Wes directly from the backend Compute Engine instance
  • B. 1. Create a managed instance group with Compute Engine instances
    2. Create a global toad balancer and configure ii with two backbends
    * Managed instance group
    * Cloud Storage bucket
    3. Enable Cloud CDN on the bucket backend
  • C. 1. Mount the Cloud Storage bucket using gcsfuse on all backend Compute Engine instances
    2. Serve muse files directly from the backend Compute Engine instance
  • D. 1. Copy popular songs into CloudSQL as a blob
    2. Update application code to retrieve data from CloudSQL when Cloud Storage is overloaded
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.
What should you do?

  • A. Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.
  • B. Use Stackdriver Monitoring to create a dashboard on the project's activity.
  • C. Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.
  • D. Use Stackdriver Trace to create a trace list analysis.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?

  • A. Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage
  • B. Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.
  • C. Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage
  • D. Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

For this question, refer to the TerramEarth case study.
You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google ' s recommended best practices. What should you do?

  • A. Make func _query ' Require authentication ' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
  • B. Make func_query ' Require authentication. ' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
  • C. Create those two functions in the same project and VPC. Make func_query only accept internal traffic.Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.
  • D. Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request Pass the same token to func _query and reject the invocation if the tokens are different.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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