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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
Managing database solutions- Deploy and administer databases
  • 1. Implement monitoring and alerting
  • 2. Manage maintenance and upgrades
  • 3. Configure backups and recovery
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
Optimizing database performance- Improve database efficiency
  • 1. Tune queries and indexes
  • 2. Optimize storage and compute resources
  • 3. Troubleshoot performance bottlenecks
Migrating data solutions- Plan and execute migrations
  • 1. Validate migrated workloads
  • 2. Use Database Migration Service
  • 3. Migrate on-premises databases to Google Cloud

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q174-Q179):

NEW QUESTION # 174
You are building an Android game that needs to store data on a Google Cloud serverless database. The database will log user activity, store user preferences, and receive in-game updates. The target audience resides in developing countries that have intermittent internet connectivity. You need to ensure that the game can synchronize game data to the backend database whenever an internet network is available. What should you do?

Answer: B

Explanation:
https://firebase.google.com/docs/firestore


NEW QUESTION # 175
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

Answer: C

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs
/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%
20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%
20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%
20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance.Refer :https://cloud.google.com/spanner/docs
/troubleshooting-performance-regressions#review-schema


NEW QUESTION # 176
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: B

Explanation:
Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too large for their workload. Eliminate C. Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library


NEW QUESTION # 177
Your company wants to migrate its MySQL, PostgreSQL, and Microsoft SQL Server on-premises databases to Google Cloud. You need a solution that provides near-zero downtime, requires no application changes, and supports change data capture (CDC). What should you do?

Answer: A


NEW QUESTION # 178
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL.
You need to be able to monitor database performance to easily identify applications with long- running and resource-intensive queries. What should you do?

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction


NEW QUESTION # 179
......

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