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| Section | Weight | Objectives |
|---|
| Deploy scalable and highly available databases in Google Cloud | 20% | - Implement high availability solutions
- 1. Read replicas deployment
- 2. Provision HA configurations
- 3. Multi-region replication
- Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
- Automate deployment and scaling
- 1. Infrastructure as Code
- 2. Auto-scaling setup
|
| Migrate data solutions | 14% | - Implement migration and replication
- 1. Data replication methods
- 2. Schema conversion
- 3. Migration tool selection
- Validate and cut over migration
- 1. Data integrity verification
- 2. Cutover procedures
- Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
|
| Design innovative, scalable, and highly available cloud database solutions | 32% | - Analyze variables for capacity and usage planning
- 1. Evaluate performance and cost tradeoffs
- 2. Solution sizing based on workload and requirements
- 3. Size compute and storage resources
- Design for high availability and reliability
- 1. Replication strategies
- 2. Disaster recovery planning
- 3. High availability configurations
- Design for security and compliance
- 1. Access control and IAM
- 2. Data encryption
- 3. Compliance requirements
- Design for backup and recovery
- 1. Backup strategies
- 2. RTO and RPO design
- 3. Data import/export planning
|
| Manage a solution that spans multiple database technologies | 25% | - Manage database operations and maintenance
- 1. Index management
- 2. Updates and upgrades
- 3. Data lifecycle management
- Determine connectivity and access management
- 1. User authentication and authorization
- 2. IAM policies and permissions
- Optimize cost and performance
- 1. Automate operational tasks
- 2. Cost optimization
- 3. Scaling strategies
- Configure monitoring and troubleshooting
- 1. Query optimization
- 2. Performance monitoring
- 3. Troubleshoot common issues
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q56-Q61):
NEW QUESTION # 56
Your company wants you to migrate their Oracle, MySQL, Microsoft SQL Server, and PostgreSQL relational databases to Google Cloud. You need a fully managed, flexible database solution when possible. What should you do?
- A. Migrate the MySQL, Microsoft SQL Server, and PostgreSQL databases to Compute Engine, and migrate the Oracle databases to Bare Metal Solution for Oracle.
- B. Migrate the MySQL, Microsoft SQL Server, and PostgreSQL databases to Cloud SQL, and migrate the Oracle databases to Bare Metal Solution for Oracle.
- C. Migrate the Oracle, MySQL, and Microsoft SQL Server databases to Cloud SQL, and migrate the PostgreSQL databases to Compute Engine.
- D. Migrate all the databases to Cloud SQL.
Answer: C
NEW QUESTION # 57
Your application follows a microservices architecture and uses a single large Cloud SQL instance, which is starting to have performance issues as your application grows. in the Cloud Monitoring dashboard, the CPU utilization looks normal You want to follow Google-recommended practices to resolve and prevent these performance issues while avoiding any major refactoring. What should you do?
- A. Increase the number of CPUs for your instance.
- B. Use many smaller Cloud SQL instances.
- C. Increase the storage size for the instance.
- D. Use Cloud Spanner instead of Cloud SQL.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/best-practices#data-arch
NEW QUESTION # 58
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us-central1 and the backup region of us-east1. What should you do?
- A. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east-b.
3. Create a read replica in us-east1-c. - B. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-central1-b.
3. Create a read replica in us-east1-b. - C. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-west1-b.
3. Create a read replica in us-east1-c. - D. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east1-b.
3. Create a read replica in us-central1-b.
Answer: B
NEW QUESTION # 59
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?
- A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.
- B. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.
- C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.
- D. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.
Answer: A
Explanation:
https://www.actifio.com/solutions/cloud/google/
NEW QUESTION # 60
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?
- A. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance. - B. Create migration job using Database Migration Service.
Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance. - C. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance. - D. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
Update your application connections to the new instance.
Answer: D
NEW QUESTION # 61
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