PCA - Professional Cloud Architect Cheat Sheet

13 practice tests · 566 questions

Pick an answer to see if it was correct and why, then continue.

Test 1
Business Requirements and Solution Strategy, Cost Optimization on Google Cloud, Business Continuity and Disaster Recovery
41 questions
Test 2
High Availability, Scalability and Performance Design, Google Cloud Well-Architected Framework and Operational Excellence, Cloud Migration Planning
49 questions
Test 3
VPC Design and Network Segmentation, Private Connectivity and Service Access, Cloud Load Balancing
36 questions
Test 4
Hybrid and Multicloud Connectivity, Network Security and Protection, Choosing Compute Platforms
40 questions
Test 5
Compute Engine and Machine Types, GKE and Container Orchestration, Serverless Computing on Google Cloud
42 questions
Test 6
Infrastructure Orchestration and Specialized Compute, Choosing Storage Types: Object, File and Block, Choosing Database Services
36 questions
Test 7
Data Processing and Analytics, Data Lifecycle, Transfer and Protection, API Management and Integration Patterns
46 questions
Test 8
Vertex AI ML Workflows, AI Hypercomputer and Accelerators, Google Cloud AI APIs and Generative AI
45 questions
Test 9
Identity and Access Management, Resource Hierarchy and Organization Policy, Data Security, Encryption and Key Management
44 questions
Test 10
Security Controls and Auditing, Secure Access and Software Supply Chain, Securing AI Workloads
37 questions
Test 11
Regulatory Compliance and Data Privacy, Industry Certifications and Audit Logging, SDLC, CI/CD and Service Catalog
39 questions
Test 12
Troubleshooting, Testing and Validation, Business Processes and Change Management, Google Cloud SDK, CLI and Programmatic Access
35 questions
Test 13 · Final
Infrastructure as Code with Terraform, Cloud Observability: Monitoring and Logging, Reliability, SLOs and Alerting, Deployment and Release Management, Production Support and Quality Control
76 questions
+150 XP

Business Requirements and Solution Strategy, Cost Optimization on Google Cloud, Business Continuity and Disaster Recovery

High Availability, Scalability and Performance Design, Google Cloud Well-Architected Framework and Operational Excellence, Cloud Migration Planning

VPC Design and Network Segmentation, Private Connectivity and Service Access, Cloud Load Balancing

Hybrid and Multicloud Connectivity, Network Security and Protection, Choosing Compute Platforms

Compute Engine and Machine Types, GKE and Container Orchestration, Serverless Computing on Google Cloud

Infrastructure Orchestration and Specialized Compute, Choosing Storage Types: Object, File and Block, Choosing Database Services

Data Processing and Analytics, Data Lifecycle, Transfer and Protection, API Management and Integration Patterns

Vertex AI ML Workflows, AI Hypercomputer and Accelerators, Google Cloud AI APIs and Generative AI

Identity and Access Management, Resource Hierarchy and Organization Policy, Data Security, Encryption and Key Management

Security Controls and Auditing, Secure Access and Software Supply Chain, Securing AI Workloads

Regulatory Compliance and Data Privacy, Industry Certifications and Audit Logging, SDLC, CI/CD and Service Catalog

Troubleshooting, Testing and Validation, Business Processes and Change Management, Google Cloud SDK, CLI and Programmatic Access

Infrastructure as Code with Terraform, Cloud Observability: Monitoring and Logging, Reliability, SLOs and Alerting, Deployment and Release Management, Production Support and Quality Control

Business Requirements and Solution Strategy, Cost Optimization on Google Cloud, Business Continuity and Disaster Recovery

High Availability, Scalability and Performance Design, Google Cloud Well-Architected Framework and Operational Excellence, Cloud Migration Planning

VPC Design and Network Segmentation, Private Connectivity and Service Access, Cloud Load Balancing

Hybrid and Multicloud Connectivity, Network Security and Protection, Choosing Compute Platforms

Compute Engine and Machine Types, GKE and Container Orchestration, Serverless Computing on Google Cloud

Infrastructure Orchestration and Specialized Compute, Choosing Storage Types: Object, File and Block, Choosing Database Services

Data Processing and Analytics, Data Lifecycle, Transfer and Protection, API Management and Integration Patterns

Vertex AI ML Workflows, AI Hypercomputer and Accelerators, Google Cloud AI APIs and Generative AI

Identity and Access Management, Resource Hierarchy and Organization Policy, Data Security, Encryption and Key Management

Security Controls and Auditing, Secure Access and Software Supply Chain, Securing AI Workloads

Regulatory Compliance and Data Privacy, Industry Certifications and Audit Logging, SDLC, CI/CD and Service Catalog

Troubleshooting, Testing and Validation, Business Processes and Change Management, Google Cloud SDK, CLI and Programmatic Access

Infrastructure as Code with Terraform, Cloud Observability: Monitoring and Logging, Reliability, SLOs and Alerting, Deployment and Release Management, Production Support and Quality Control