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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q117-Q122):

NEW QUESTION # 117
You manage a meeting booking application that uses Cloud SQL. During an important launch, the Cloud SQL instance went through a maintenance event that resulted in a downtime of more than 5 minutes and adversely affected your production application. You need to immediately address the maintenance issue to prevent any unplanned events in the future. What should you do?

Answer: A


NEW QUESTION # 118
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do? (Choose two.)

Answer: A,D


NEW QUESTION # 119
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

Answer: A

Explanation:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads


NEW QUESTION # 120
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard.
You need to recommend the optimal storage type for this read-intensive database. What should you do?

Answer: C

Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.


NEW QUESTION # 121
Your organization has a security policy to ensure that all Cloud SQL for PostgreSQL databases are secure. You want to protect sensitive data by using a key that meets specific locality or residency requirements. Your organization needs to control the key's lifecycle activities. You need to ensure that data is encrypted at rest and in transit. What should you do?

Answer: D


NEW QUESTION # 122
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