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

SectionObjectives
Migrating data solutions- Plan and execute migrations
  • 1. Migrate on-premises databases to Google Cloud
  • 2. Use Database Migration Service
  • 3. Validate migrated workloads
Managing database solutions- Deploy and administer databases
  • 1. Manage maintenance and upgrades
  • 2. Implement monitoring and alerting
  • 3. Configure backups and recovery
Securing and ensuring compliance of database solutions- Implement security best practices
  • 1. Enable encryption and auditing
  • 2. Ensure compliance and governance
  • 3. Configure IAM and access controls
Optimizing database performance- Improve database efficiency
  • 1. Troubleshoot performance bottlenecks
  • 2. Tune queries and indexes
  • 3. Optimize storage and compute resources
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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q64-Q69):

NEW QUESTION # 64
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:
Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner. Which roles should you assign?

Answer: C


NEW QUESTION # 65
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day.
Theapplication team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

Answer: A

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting


NEW QUESTION # 66
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: B

Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud


NEW QUESTION # 67
Your organization is running a low-latency reporting application on Microsoft SQL Server. In addition to the database engine, you are using SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) in your on-premises environment. You want to migrate your Microsoft SQL Server database instances to Google Cloud. You need to ensure minimal disruption to the existing architecture during migration. What should you do?

Answer: D

Explanation:
https://cloud.google.com/sql/docs/sqlserver/features


NEW QUESTION # 68
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
- Work with transactions and offer strong consistency.
- Work with structured and semi-structured (JSON) data.
- Scale transparently to multiple regions globally as the operation
grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

Answer: D


NEW QUESTION # 69
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