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

Professional-Cloud-Architect

Exam Code: Professional-Cloud-Architect

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

Updated: Sep 06, 2026

Q & A: 348 Questions and Answers

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About Google Professional-Cloud-Architect Exam

Exam Overview

The qualifying test for the Google Professional Cloud Architect certification is 2 hours long. The questions administered during the exam can be presented as multiple-select and multiple-choice items. The test is delivered in English or Japanese and can be taken by the students either online from a remote location or in-person at the authorized testing center. To check the location of the nearest center, you can use the search on the official website. To schedule the exam, each applicant is required to pay the registration fee of $200, plus applicable taxes.

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Career Benefits

The Google Professional Cloud Architect certification demonstrates the ability of the specialists to design, develop, and manage robust, scalable, secure, highly available, and dynamic solutions to meet the business objectives. Earning this certificate allows the successful candidates to apply for Cloud architect jobs in a variety of companies all over the world. Some of the titles that these individuals can consider include a Cloud Infrastructure Engineer, a Cloud Operations Engineer, a Google Cloud Platform Data Architect, a Google Cloud Platform Solutions Architect, a Google Cloud Senior Analyst, and a Google Cloud Platform Data Warehouse Architect, among others. Another advantage associated with this certification is that it significantly boosts your earning potential. In 2020, this Google qualification was named the highest paying IT certificate. The average salary that you can count on holding it is $139,529 per annum.

Ensuring Operations and Solution Reliability

  • Evaluate quality control measures.
  • Assist with solutions support within the operation;
  • Monitor, log, profile, and alert solutions;
  • Deploy and release management;

Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

  • Security & Compliance Design

    The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.

  • Management & Provisioning of Solution Infrastructure

    In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.

  • Cloud Solution Architecture Design & Planning

    Here the candidates need to demonstrate their skills in designing a solution infrastructure that satisfies the business needs; envisioning future solution improvements; creating a migration plan; designing network, compute, and storage resources; designing a solution infrastructure that satisfies the technical needs.

  • Ensuring of Solution & Operations Reliability

    To tackle the questions related to the last domain, the applicants are required to be conversant with monitoring/logging/profiling/alerting solutions. They should know how to perform deployment & release management as well as evaluate quality control measures. IN addition, the specialists must be able to assist with the support of deployed solutions.

  • Analysis & Optimization of Technical & Business Processes

    Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.

  • Implementation Management

    The aim of this module is to evaluate the ability of the individuals to advise operation or development team(s) to ensure the successful deployment of the solution. This includes application development, API best practices, testing frameworks, as well as data & system migration and management tooling. The examinees should also be capable of interacting with Google Cloud programmatically. This requires their understanding of Google Cloud Shell, Google Cloud SDK, and Cloud Emulators.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

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

Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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