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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q153-Q158):

NEW QUESTION # 153
You are using Memorystore for Redis to cache frequently accessed data and improve your application's performance. In the event of a complete regional outage, the application will failover to another region. You want to ensure that the Memorystore instance in the new region does not start from an empty cache after failover. What should you do-

Answer: D

Explanation:
By enabling Redis RDB snapshots on your Memorystore instance, you get periodic point-in-time dumps of your cache written to Cloud-Storage. If an entire region goes down (so there's no in- region replica to fail over to), Memorystore will restore the new instance from the most recent RDB snapshot rather than starting empty. This gives fast failover with a warm cache and only minimal staleness (bounded by your snapshot interval).


NEW QUESTION # 154
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,C

Explanation:
https://cloud.google.com/spanner/docs/pitr#ways-to-recover
To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A
To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case - E
https://cloud.google.com/spanner/docs/pitr https://cloud.google.com/spanner/docs/backup/restore-backup


NEW QUESTION # 155
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

Answer: B


NEW QUESTION # 156
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage.
What should you do?

Answer: B

Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.


NEW QUESTION # 157
Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do?

Answer: D


NEW QUESTION # 158
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