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

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

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Exam Details

The Google Professional Cloud Architect test is timed. The exact number of questions has not been revealed by the vendor. But, it is known that candidates will be given 2 hours to complete the exam, and the questions will be based on multiple-choice and multiple select types. Available languages are English and Japanese, and one should pay $200 as a registration fee. Note that there can be an additional tax.

When it comes to the exam delivery formats, there are two choices for an aspirant. They can either sit for it in a testing center near them or can avail of the online proctoring facility. In both methods, the content and pattern of the test will be the same.

For this exam, a beta version is offered as well. Anyone who wants to save 40% on the total fee or willing to recertify can take it. The cost in this case is $120, the length increases to 3 hours, and some questions may be provided in the form of case studies. Also, pay attention to the fact that the results will be known after 6-8 weeks only.

Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

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

Section #6. Improving and validating the reliability of processes and solutions

The final exam domain is compact and throws light on concepts like deployment & release management, evaluations of quality control measures, monitoring and logging solutions, and helping users through deployed aids for the same.

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Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:

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

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