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

SectionObjectives
Topic 1: Securing and ensuring compliance of database solutions- Implement security best practices
  • 1. Ensure compliance and governance
  • 2. Configure IAM and access controls
  • 3. Enable encryption and auditing
Topic 2: Migrating data solutions- Plan and execute migrations
  • 1. Validate migrated workloads
  • 2. Use Database Migration Service
  • 3. Migrate on-premises databases to Google Cloud
Topic 3: Managing database solutions- Deploy and administer databases
  • 1. Implement monitoring and alerting
  • 2. Manage maintenance and upgrades
  • 3. Configure backups and recovery
Topic 4: Optimizing database performance- Improve database efficiency
  • 1. Troubleshoot performance bottlenecks
  • 2. Tune queries and indexes
  • 3. Optimize storage and compute resources
Topic 5: Designing scalable and highly available cloud database solutions- Select appropriate database services
  • 1. Choose relational and non-relational databases
  • 2. Design globally distributed architectures
  • 3. Plan scalability and availability strategies

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q162-Q167):

NEW QUESTION # 162
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance.
During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

Answer: A

Explanation:
https://cloud.google.com/compute/docs/disks/performance


NEW QUESTION # 163
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7.
You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

Answer: D

Explanation:
https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports


NEW QUESTION # 164
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

Answer: A,B


NEW QUESTION # 165
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?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/high-availability#read_replicas


NEW QUESTION # 166
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

Answer: C


NEW QUESTION # 167
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