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Exam Topics

The certification exam covers six domains. Each of them has a list of subtopics that the applicants should understand before taking the test. To develop competence in the content, it is recommended that you spend some time going over the exam guide and taking some practice tests. Below are the details of the subjects covered in the Google Professional Cloud Architect exam:

Designing & Planning Cloud Solution Architectures

  • Design network, compute, and storage resources: this covers one’s competence in selecting data processing technologies, relevant storage types, and compute resources; integration with multi-Cloud/on-premises environments; Cloud-native networking; mapping compute requirements for platform products;
  • Design a solution infrastructure that fulfills the business prerequisites: this covers skills in cost optimization; product strategy and business use cases; integration with the external systems; supporting application designs; build-buy-or-modify; design decision trade-off; data movement; observability and compliance; success measurements;
  • Envision future solutions enhancements: the individuals should understand the technology and Cloud improvements; evangelism and advocacy; business requirements evolution.
  • Create a migration plan: the students should be able to integrate the solution with current systems; migrate data and systems to support solutions; license mapping; test and proof concepts; network planning; dependency management strategy;
  • Design a solution infrastructure that fulfills the technical prerequisites: the candidates must demonstrate their understanding of Cloud resources elasticity; failover design and high availability; latency and performance; scalability to fulfill growth needs;

Designing for Compliance and Security

  • Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;
  • Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).

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

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The benefit of obtaining the Google Professional Cloud Architect Exam Certification

  • Google Professional Cloud Architect Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
  • Google Professional Cloud Architect Certification is distinguished among competitors. Google Professional Cloud Architect certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
  • Google Professional Cloud Architect Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
  • Google Professional Cloud Architect Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
  • Google Professional Cloud Architect will be confident and stand different from others as their skills are more trained than non-certified professionals.
  • Google Professional Cloud Architect certification has more useful and relevant networks that help them in setting career goals for themselves. Google Professional Cloud Architect networks provide them with the correct career guidance than non certified generally are unable to get.

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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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