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Google Professional-Cloud-Database-Engineer is a certification exam designed for professionals who want to showcase their expertise in designing, building, and managing databases on Google Cloud Platform. Professional-Cloud-Database-Engineer exam is intended for individuals who have a deep understanding of database management, data migration, backup and recovery, and security on Google Cloud Platform. Successful completion of Professional-Cloud-Database-Engineer exam will earn candidates the Google Cloud Certified - Professional Cloud Database Engineer certification.

Reference: https://cloud.google.com/certification/cloud-database-engineer

Google Professional-Cloud-Database-Engineer certification exam is an excellent opportunity for professionals who want to demonstrate their expertise in designing, building, and managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is recognized globally and is highly valued by employers. By passing Professional-Cloud-Database-Engineer exam, candidates can prove their proficiency in database management and increase their chances of getting hired or promoted.

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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design innovative, scalable, and highly available cloud database solutions32%- Design for security and compliance
  • 1. Access control and IAM
  • 2. Compliance requirements
  • 3. Data encryption
- Design for backup and recovery
  • 1. RTO and RPO design
  • 2. Backup strategies
  • 3. Data import/export planning
- Analyze variables for capacity and usage planning
  • 1. Evaluate performance and cost tradeoffs
  • 2. Size compute and storage resources
  • 3. Solution sizing based on workload and requirements
- Design for high availability and reliability
  • 1. Disaster recovery planning
  • 2. Replication strategies
  • 3. High availability configurations
Topic 2: Manage a solution that spans multiple database technologies25%- Configure monitoring and troubleshooting
  • 1. Query optimization
  • 2. Performance monitoring
  • 3. Troubleshoot common issues
- Manage database operations and maintenance
  • 1. Index management
  • 2. Data lifecycle management
  • 3. Updates and upgrades
- Determine connectivity and access management
  • 1. IAM policies and permissions
  • 2. User authentication and authorization
- Optimize cost and performance
  • 1. Automate operational tasks
  • 2. Cost optimization
  • 3. Scaling strategies
Topic 3: Deploy scalable and highly available databases in Google Cloud20%- Automate deployment and scaling
  • 1. Auto-scaling setup
  • 2. Infrastructure as Code
- Implement high availability solutions
  • 1. Read replicas deployment
  • 2. Multi-region replication
  • 3. Provision HA configurations
- Configure monitoring and alerting
  • 1. Health checks and alerts
  • 2. Performance dashboards
Topic 4: Migrate data solutions14%- Implement migration and replication
  • 1. Migration tool selection
  • 2. Data replication methods
  • 3. Schema conversion
- Design migration strategies
  • 1. Fall-back planning
  • 2. Downtime requirements analysis
- Validate and cut over migration
  • 1. Data integrity verification
  • 2. Cutover procedures

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