Certification Google Professional-Cloud-Database-Engineer Exam - Real Professional-Cloud-Database-Engineer Dumps Free

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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q111-Q116):

NEW QUESTION # 111
You are configuring the networking of a Cloud SQL instance. The only application that connects to this database resides on a Compute Engine VM in the same project as the Cloud SQL instance. The VM and the Cloud SQL instance both use the same VPC network, and both have an external (public) IP address and an internal (private) IP address. You want to improve network security. What should you do?

Answer: A


NEW QUESTION # 112
You have an application that performs numerous reads and writes all day running in a single Bigtable cluster. A new batch analytics job needs to read the same data and you want to make sure that the new job does not affect the existing workload. What should you do-

Answer: C

Explanation:
This is the only way to isolate your analytical reads from the production workload-by adding a second cluster in the same Bigtable instance and creating two app profiles (one bound to the primary cluster for OLTP, and one bound to the new cluster for analytics). This keeps the batch job's heavy scans off your production nodes, while still reading the same underlying data.


NEW QUESTION # 113
Your company is rapidly expanding its user base across North America, nearly doubling in the last 6-months. This expansion causes a substantial increase in query volume on your mission- critical Cloud SQL database. This has led to noticeable performance issues and slower query response times. You suspect that your Cloud SQL instance may not be able to handle the incremental load. You need to identify the root cause of this performance bottleneck and ensure that your database can scale with your growing user base. What should you do-

Answer: C

Explanation:
Start by using Cloud-SQL's System-Insights dashboard to pinpoint whether CPU, memory, or disk I/O is saturating during peak loads. Analyzing these resource-utilization charts will reveal the root cause, letting you choose the right scaling strategy (vertical resize, read replicas, or sharding) rather than guessing.


NEW QUESTION # 114
Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-recommended practices and use Google native data migration tools. You also want to closely monitor the migrations as part of the cutover strategy. What should you do?

Answer: B


NEW QUESTION # 115
You are configuring a new application that has access to an existing Cloud Spanner database.
The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

Answer: C

Explanation:
spanner.database.select is not enough, you also need a spanner.database.read which is included in Cloud Spanner Database Reader role.


NEW QUESTION # 116
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