Google Cloud Professional Practice Exam
Google Cloud Professional Practice Exam
About Google Cloud Professional Exam
The Google Cloud Professional Practice Exam evaluates your ability to design, deploy, and manage robust cloud solutions on Google Cloud Platform. This exam measures your understanding of architecture best practices, core services, security controls, automation, monitoring, and cost optimisation. Passing demonstrates you can build scalable, reliable, and secure applications that meet business requirements.
Who should take the Exam?
- Cloud architects and solution designers
- DevOps and site‑reliability engineers
- System and network administrators
- Application developers moving to the cloud
- Technical leads responsible for cloud strategy
Skills Required
- Familiarity with core Google Cloud services (Compute, Storage, Networking)
- Basic understanding of Linux and scripting (bash, Python)
- Knowledge of cloud security principles and IAM
- Experience with infrastructure as code and CI/CD concepts
Knowledge Gained
- How to design resilient and highly available architectures
- Methods for securing resources with IAM, VPC, and encryption
- Techniques to automate deployments using Deployment Manager and Terraform
- Strategies for monitoring, logging, and alerting with Cloud Monitoring and Logging
- Best practices for cost control, budgeting, and resource optimisation
- Approaches to integrate serverless computing and container orchestration
- Use of data and machine‑learning services for analytics and intelligence
- Governance models for policies, compliance, and resource hierarchy
Course Outline
The Google Cloud Professional Exam covers the following topics -
Domain 1 – Cloud Architecture and Design
- Designing multi‑region, highly available solutions
- Selecting the right services for compute, storage, and networking
Domain 2 – Compute and Networking
- Configuring Compute Engine, GKE, and App Engine environments
- Implementing VPC networks, subnets, and firewall rules
Domain 3 – Storage and Databases
- Choosing between Cloud Storage, Filestore, and persistent disks
- Managing relational and NoSQL databases with Cloud SQL and Firestore
Domain 4 – Security and Identity Management
- Defining IAM roles, service accounts, and organization policies
- Applying encryption at rest, in transit, and key‑management solutions
Domain 5 – DevOps and Automation
- Writing Deployment Manager, Terraform, and Cloud Build pipelines
- Automating deployments with Cloud Functions and Workflows
Domain 6 – Monitoring, Logging, and Operations
- Building dashboards, uptime checks, and alerting policies
- Using Logs Explorer and Trace for troubleshooting
Domain 7 – Data, Analytics, and Machine Learning
- Loading and querying data with BigQuery and Dataflow
- Training and deploying models with Vertex AI and AutoML
Domain 8 – Cost Management and Best Practices
- Implementing billing alerts and cost‑allocation tags
- Rightsizing resources and using committed use discounts
