Professional-Cloud-Database-Engineer Test Pattern & Test Professional-Cloud-Database-Engineer Centres

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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q189-Q194):

NEW QUESTION # 189
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

Answer: A


NEW QUESTION # 190
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?

Answer: D


NEW QUESTION # 191
You are migrating your on-premises Oracle database to Cloud SQL for PostgreSQL by using Database Migration Service. You observed one of your important production tables DML changes are not getting replicated on the target. All other tables are getting migrated to the target without any errors.
What could be the problem and what should you do to resolve it?

Answer: A

Explanation:
Database Migration Service uses key-based identification to replicate DML changes from Oracle.
If a table does not have a primary key (or suitable unique identifier), DMS cannot reliably track and apply row-level changes, so DML replication for that table fails. Creating a primary key enables proper change capture and replication.


NEW QUESTION # 192
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

Answer: A

Explanation:
To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.
READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.


NEW QUESTION # 193
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

Answer: A

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md


NEW QUESTION # 194
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