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Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:Google
Exam Name:Google Cloud Certified Professional - Cloud Architect Exam
Exam Number:Professional-Cloud-Architect
Exam Price:USD 200 (plus tax where applicable)
Certificate Validity Period:2 years
Related Certifications:Google Cloud Certified Associate Cloud Engineer
Google Cloud Certified Professional Cloud Developer
Google Cloud Certified Professional Cloud Network Engineer
Google Cloud Certified Professional Cloud Security Engineer
Exam Format:Multiple choice, Multiple select, Case study-based questions
Passing Score:Not officially disclosed
Available Languages:English, Japanese
Exam Duration:120 minutes
Real Exam Qty:50-60
Recommended Training:Google Cloud Architect Exam Guide
Google Cloud Professional Cloud Architect Learning Path
Exam Registration:Google Cloud Certification Registration
Sample Questions:Google Professional-Cloud-Architect Sample Questions
Exam Way:Online proctored or onsite proctored at authorized test centers
Pre Condition:No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud solutions
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-architect

What is the duration, language, and format of Google Professional Cloud Architect Exam

  • Passing score: 80%
  • Number of Questions: 50-60
  • Format: Multiple choices, multiple answers
  • Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP
  • Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
  • Length of Examination: 120 minutes

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:

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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

Section #4. Auditing and optimizing business as well as technical processes

The key focus areas of this domain are performing the SDLC management, continuous integration, change management, and best practices for troubleshooting or bug-finding. Verifying and testing of software solutions and infrastructure, disaster recovery, business continuity, and service catalogue are also discussed in here.

Another sub-section is all about the business process’ defining & analysing, stakeholder management, team management, and decision-making workflow.

Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionWeightObjectives
Managing and provisioning solution infrastructure15%- Provisioning and managing compute resources
  • 1. Auto-scaling and resource management
  • 2. VMs, GKE, App Engine, Cloud Run deployment and management
- Configuring network topologies and connectivity
  • 1. VPC design, peering, and hybrid connectivity
  • 2. Load balancing and CDN configuration
- Managing storage and data services
  • 1. Cloud Storage, Filestore, Persistent Disk management
  • 2. Database deployment, replication, and backup
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
Designing for security and compliance17.5%- Implementing identity and access management
  • 1. IAM roles, permissions, and service accounts
  • 2. Organizational policies and resource hierarchy
- Enforcing compliance and governance
  • 1. Security controls, auditing, and logging
  • 2. VPC Service Controls and security perimeters
- Securing data and communications
  • 1. Key management and secret security
  • 2. Encryption at rest and in transit
Analyzing and optimizing technical and business processes15%- Improving reliability and performance
  • 1. SLO, SLA, and error budgeting
  • 2. Latency reduction and throughput optimization
- Streamlining operational workflows
  • 1. Stakeholder communication and alignment
  • 2. Change management and incident response
- Optimizing cost and resource efficiency
  • 1. Resource right-sizing and usage monitoring
  • 2. Committed use discounts and pricing models
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)
- Testing and validating solutions
  • 1. Disaster recovery and failover testing
  • 2. Functional, performance, and security testing
- Guiding development and deployment teams
  • 1. CI/CD pipelines and automation
  • 2. Application and infrastructure deployment strategies
Designing and planning a cloud solution architecture25%- Planning cloud migration and hybrid/multi-cloud environments
  • 1. Migration planning and execution
  • 2. Data transfer and synchronization
  • 3. Interoperability and integration design
- Designing cloud solution infrastructure aligned with business requirements
  • 1. Compliance and regulatory requirements consideration
  • 2. Cost optimization strategies
  • 3. Scalability, high availability, and fault tolerance design
- Evaluating and selecting Google Cloud services
  • 1. Compute, storage, database, and networking service selection
  • 2. Serverless and managed service adoption

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