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| Section | Weight | Objectives |
|---|
| Manage a solution that spans multiple database technologies | 25% | - Optimize cost and performance
- 1. Cost optimization
- 2. Automate operational tasks
- 3. Scaling strategies
- Configure monitoring and troubleshooting
- 1. Performance monitoring
- 2. Troubleshoot common issues
- 3. Query optimization
- Determine connectivity and access management
- 1. IAM policies and permissions
- 2. User authentication and authorization
- Manage database operations and maintenance
- 1. Index management
- 2. Data lifecycle management
- 3. Updates and upgrades
|
| Migrate data solutions | 14% | - Validate and cut over migration
- 1. Cutover procedures
- 2. Data integrity verification
- Implement migration and replication
- 1. Schema conversion
- 2. Migration tool selection
- 3. Data replication methods
- Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
|
| Deploy scalable and highly available databases in Google Cloud | 20% | - Configure monitoring and alerting
- 1. Health checks and alerts
- 2. Performance dashboards
- Automate deployment and scaling
- 1. Auto-scaling setup
- 2. Infrastructure as Code
- Implement high availability solutions
- 1. Read replicas deployment
- 2. Provision HA configurations
- 3. Multi-region replication
|
| Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for high availability and reliability
- 1. Replication strategies
- 2. High availability configurations
- 3. Disaster recovery planning
- Design for backup and recovery
- 1. Backup strategies
- 2. Data import/export planning
- 3. RTO and RPO design
- Analyze variables for capacity and usage planning
- 1. Size compute and storage resources
- 2. Solution sizing based on workload and requirements
- 3. Evaluate performance and cost tradeoffs
- Design for security and compliance
- 1. Access control and IAM
- 2. Data encryption
- 3. Compliance requirements
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q80-Q85):
NEW QUESTION # 80
Your company has a critical application running on-premises on PostgreSQL. The application requires minimal migration downtime and the ability to withstand regional outages. You are considering a Cloud SQL Enterprise Plus edition instance on PostgreSQL. You need to ensure that the migration will meet your requirements with minimal effort.
What should you do?
- A. Use the PostgreSQL interface for Spanner.
- B. Focus on provisioning large compute instances for optimal performance during failover.
- C. Select standard storage options, and conduct regular database backups.
- D. Configure cross-region replicas, and test failover.
Answer: D
Explanation:
Configuring cross-region replicas in Cloud SQL Enterprise Plus provides built-in regional resilience and high availability. This architecture supports rapid failover in the event of a regional outage and enables migration strategies with minimal downtime and minimal operational complexity, directly meeting both resilience and availability requirements.
NEW QUESTION # 81
You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?
- A. Start the original primary instance and resume replication.
- B. Verify that the new replica is created automatically.
- C. Use the Google Cloud Console or gcloud CLI to manually create a new clone database.
- D. Use the Google Cloud Console or gcloud CLI to manually create a new failover replica from backup.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/high-availability#read_replicas
NEW QUESTION # 82
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.)
- A. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.
- B. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.
- C. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
- D. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.
- E. If the corruption is significant, use import and export.
Answer: B,D
NEW QUESTION # 83
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command. What should you do?
- A. Use gcloud sql instances promote-replica <PrimaryInstanceName>.
- B. Use gcloud sql instances failover <ReplicaInstanceName>.
- C. Use gcloud sql instances failover <PrimaryInstanceName>.
- D. Use gcloud sql instances promote-replica <ReplicaInstanceName>.
Answer: C
Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover
NEW QUESTION # 84
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?
- A. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
- B. Use Key Visualizer for Bigtable.
- C. Add more nodes to the Bigtable cluster.
- D. Isolate the data analysts and operations user groups to use different Bigtable instances.
Answer: A
NEW QUESTION # 85
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