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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q203-Q208):

NEW QUESTION # 203
You run a 24x7 online travel agency using Spanner. Your company provides services to book hotels, flights, and local attractions which are fulfilled by your partners. You need to enable your partners to access their respective booking data for reconciliation and analysis in real time. You need a solution that provides your partners secure access, the ability to run ad hoc SQL read queries with minimal to no disruption to your existing reservation platform. You want to keep costs to a minimum.
What should you do?

Answer: A

Explanation:
Creating partner-specific views directly in Spanner and granting IAM access to those views provides secure, real-time, read-only SQL access with no impact on the operational workload, no data duplication, and minimal cost, while supporting ad hoc queries without disrupting the reservation platform.


NEW QUESTION # 204
You want to migrate an on-premises MySQL database to Cloud SQL. The on-premises database currently has 16 cores and 64-GB of RAM and averages 75% CPU utilization to support an application with over 100.000 tables. You need to specify the most cost-effective machine size you need when migrating to Cloud SQL for MySQL. What should you do-

Answer: C

Explanation:
Matching your peak-sized on-prem configuration (16-vCPUs and 64-GB RAM) in Cloud SQL gives you the capacity to sustain your current 75% average CPU load plus headroom for traffic spikes. Downsizing to 12-vCPUs risks CPU saturation, while larger tiers would add unnecessary cost.


NEW QUESTION # 205
You have a Cloud SQL for MySQL Enterprise instance with four read replicas. Your next scheduled maintenance event is scheduled tomorrow at 6-PM. Your security team identifies an important security vulnerability. You are notified by your management at 8-PM today to update your primary instance and all four read replicas during approved business downtime today at 11- PM. What should you do-

Answer: A

Explanation:
Cloud-SQL's self-service maintenance feature lets you manually apply updates on demand-so you can patch the primary instance at 11-PM during your approved downtime rather than waiting for tomorrow's window. Once the primary is updated and rebooted, you then repeat self-service maintenance on each read replica. This approach addresses the security vulnerability immediately while still operating within the agreed downtime.


NEW QUESTION # 206
You are evaluating Cloud SQL for PostgreSQL as a possible destination for your on-premises PostgreSQL instances. Geography is becoming increasingly relevant to customer privacy worldwide. Your solution must support data residency requirements and include a strategy to:
configure where data is stored
control where the encryption keys are stored
govern the access to data
What should you do?

Answer: D


NEW QUESTION # 207
Your company wants to move to Google Cloud. Your current data center is closing in six months. You are running a large, highly transactional Oracle application footprint on VMWare. You need to design a solution with minimal disruption to the current architecture and provide ease of migration to Google Cloud. What should you do?

Answer: C


NEW QUESTION # 208
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