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Getting Ready for the Exam

Following training courses is a great way to be exam-ready. Enrolling in the programs like Architecting with Google Cloud: Design and Process, Google Cloud Fundamentals: Core Infrastructure, and Architecting with Google Compute Engine will help you gain mastery over the test’s content.

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

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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
Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
Passing score: 80%
Format: Multiple choices, multiple answers
Number of Questions: 50-60

Who should take the Google Professional Cloud Architect exam

Individuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.

Google Professional-Cloud-Architect Exam Syllabus Topics:

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