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

SectionObjectives
Optimizing database performance- Improve database efficiency
  • 1. Tune queries and indexes
  • 2. Troubleshoot performance bottlenecks
  • 3. Optimize storage and compute resources
Managing database solutions- Deploy and administer databases
  • 1. Configure backups and recovery
  • 2. Implement monitoring and alerting
  • 3. Manage maintenance and upgrades
Designing scalable and highly available cloud database solutions- Select appropriate database services
  • 1. Choose relational and non-relational databases
  • 2. Plan scalability and availability strategies
  • 3. Design globally distributed architectures
Migrating data solutions- Plan and execute migrations
  • 1. Use Database Migration Service
  • 2. Migrate on-premises databases to Google Cloud
  • 3. Validate migrated workloads
Securing and ensuring compliance of database solutions- Implement security best practices
  • 1. Configure IAM and access controls
  • 2. Enable encryption and auditing
  • 3. Ensure compliance and governance

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q11-Q16):

NEW QUESTION # 11
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?

Answer: D

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover


NEW QUESTION # 12
You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

Answer: C

Explanation:
"sub-millisecond latency" always involves Memorystore. Furthermore, as we are talking about a relational DB (Cloud SQL), BigTable is not a solution to be considered.


NEW QUESTION # 13
BrightTrail Outfitters is moving an order processing platform from its data center to Google Cloud.
The application depends on a MySQL backend that must remain highly available because it supports mission critical transactions. The business requires a recovery time objective and a recovery point objective of no more than 12 minutes during a regional incident. You will use a Google managed database service. What should you implement to achieve the highest possible uptime for this workload?

Answer: A

Explanation:
This approach gives you automatic failover within the region to cover zonal outages and it provides a ready to use replica in another region for disaster recovery. You can promote the replica if the entire region becomes unavailable. Replication lag is usually small which helps keep the recovery point objective within the required window and promotion can be performed quickly which supports the recovery time objective. This design therefore maximizes uptime by addressing both local and regional failure scenarios while staying on a managed MySQL service.


NEW QUESTION # 14
You are a DBA on a Cloud Spanner instance with multiple databases. You need to assign these privileges to all members of the application development team on a specific database:
Can read tables, views, and DDL
Can write rows to the tables
Can add columns and indexes
Cannot drop the database
What should you do?

Answer: B


NEW QUESTION # 15
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

Answer: C

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library


NEW QUESTION # 16
......

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