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Exam Specification: Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer)

Exam Name: Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer)
Exam Code: Professional-Cloud-DevOps-Engineer
Exam Duration: 2 hours
Passing Score: Not specified
Exam Format: Multiple-choice

Course Outline:

1. Introduction to DevOps on Google Cloud Platform
- Understanding DevOps principles and practices
- Overview of Google Cloud Platform (GCP) and its services
- Role of a DevOps Engineer in managing and deploying applications on GCP

2. Continuous Integration and Delivery (CI/CD)
- Setting up CI/CD pipelines using Google Cloud Build
- Configuration and management of source code repositories
- Automating builds, tests, and deployments using CI/CD tools on GCP

3. Infrastructure as Code (IaC)
- Introduction to infrastructure as code concepts
- Managing infrastructure using Google Cloud Deployment Manager
- Using Terraform and other tools for infrastructure provisioning on GCP

4. Monitoring and Logging
- Configuring monitoring and alerting using Google Cloud Monitoring
- Leveraging Google Cloud Logging for centralized log management
- Analyzing and troubleshooting application and infrastructure issues using GCP tools

5. Scalability and Performance Optimization
- Designing and implementing scalable and highly available architectures on GCP
- Optimizing performance and resource utilization for applications on GCP
- Load balancing, auto-scaling, and capacity planning strategies on GCP

6. Security and Compliance
- Implementing security controls and best practices on GCP
- Managing access and permissions using Google Cloud Identity and Access Management (IAM)
- Ensuring compliance with industry standards and regulations on GCP

Exam Objectives:

1. Understand DevOps principles and practices and their application on Google Cloud Platform.
2. Configure and manage continuous integration and delivery pipelines using Google Cloud Build.
3. Implement infrastructure as code using tools like Google Cloud Deployment Manager and Terraform.
4. Set up monitoring and logging solutions to ensure the availability and performance of applications on GCP.
5. Design and optimize scalable and highly available architectures on Google Cloud Platform.
6. Implement security controls and ensure compliance with industry standards on GCP.

Exam Syllabus:

Section 1: Introduction to DevOps on Google Cloud Platform (15%)
- DevOps principles and practices
- Overview of Google Cloud Platform and its services
- Role of a DevOps Engineer on GCP

Section 2: Continuous Integration and Delivery (CI/CD) (20%)
- Configuring CI/CD pipelines with Google Cloud Build
- Source code repository management
- Automation of builds, tests, and deployments on GCP

Section 3: Infrastructure as Code (IaC) (15%)
- Infrastructure as code concepts
- Managing infrastructure with Google Cloud Deployment Manager
- Using Terraform and other tools for infrastructure provisioning on GCP

Section 4: Monitoring and Logging (15%)
- Configuration of monitoring and alerting using Google Cloud Monitoring
- Centralized log management with Google Cloud Logging
- Application and infrastructure troubleshooting using GCP tools

Section 5: Scalability and Performance Optimization (20%)
- Designing scalable and highly available architectures on GCP
- Performance optimization techniques for GCP applications
- Load balancing, auto-scaling, and capacity planning strategies on GCP

Section 6: Security and Compliance (15%)
- Implementing security controls and best practices on GCP
- Managing access and permissions with Google Cloud IAM
- Ensuring compliance with industry standards on GCP

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