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

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

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Google Professional-Cloud-Database-Engineer Questions - Latest Professional-Cloud-Database-Engineer Dumps [2026]

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q42-Q47):

NEW QUESTION # 42
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)

Answer: A,C

Explanation:
https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versus_offline_transfer


NEW QUESTION # 43
Your organization has strict policies on tracking rollouts to production and periodically shares this information with external auditors to meet compliance requirements. You need to enable auditing on several Cloud Spanner databases. What should you do?

Answer: D


NEW QUESTION # 44
Your organization has a ticketing system that needs an online marketing analytics and reporting application.
You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

Answer: A


NEW QUESTION # 45
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi- structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

Answer: D

Explanation:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi- structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured data. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.


NEW QUESTION # 46
You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/backup-recovery/backups#troubleshooting-backups Under Troubleshooting: Issue: "You can't see the current operation's status." The Google Cloud console reports only success or failure when the operation is done. It isn't designed to show warnings or other updates. Run the gcloud sql operations list command to list all operations for the given Cloud SQL instance.


NEW QUESTION # 47
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