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Exam Specification: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer

Exam Name: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer
Exam Code: Google-PCDE
Exam Duration: 2 hours
Passing Score: Not specified
Exam Format: Multiple-choice and scenario-based questions

Course Outline:

1. Google Cloud Platform Overview
- Overview of Google Cloud Platform (GCP) services
- Understanding GCP database offerings
- Key concepts and features of GCP database solutions

2. Database Planning and Design
- Assessing business requirements for database solutions
- Designing database architectures and schemas
- Planning for scalability, availability, and disaster recovery

3. Database Implementation and Deployment
- Deploying and provisioning database instances on GCP
- Configuring database security and access controls
- Migrating data to GCP databases

4. Database Management and Monitoring
- Managing database operations and configurations
- Performing database backups and restores
- Monitoring database performance and optimizing query execution

5. Database Performance Tuning and Optimization
- Analyzing database performance bottlenecks
- Optimizing database schemas and indexes
- Implementing caching and query optimization techniques

6. Data Security and Compliance
- Securing data in GCP databases
- Implementing encryption and access controls
- Ensuring compliance with data privacy regulations

Exam Objectives:

1. Understand the key features and services of Google Cloud Platform (GCP) databases.
2. Plan and design database architectures based on business requirements.
3. Implement and deploy GCP database solutions.
4. Manage and monitor database operations and configurations.
5. Perform database performance tuning and optimization.
6. Ensure data security and compliance in GCP databases.

Exam Syllabus:

Section 1: Google Cloud Platform Overview (15%)
- Overview of GCP services
- GCP database offerings and features

Section 2: Database Planning and Design (20%)
- Assessing business requirements
- Database architecture and schema design
- Scalability, availability, and disaster recovery planning

Section 3: Database Implementation and Deployment (20%)
- Deploying and provisioning database instances
- Security and access control configuration
- Data migration to GCP databases

Section 4: Database Management and Monitoring (20%)
- Managing database operations and configurations
- Backup and restore procedures
- Performance monitoring and query optimization

Section 5: Database Performance Tuning and Optimization (15%)
- Performance bottleneck analysis
- Schema and index optimization
- Caching and query optimization techniques

Section 6: Data Security and Compliance (10%)
- Database security measures
- Encryption and access control implementation
- Compliance with data privacy regulations

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