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

TopicDetails
Topic 1
  • Apply concepts to implement highly scalable and available databases in Google Cloud
  • Given a scenario, define maintenance windows and notifications based on application availability requirements
Topic 2
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
Topic 3
  • Determine the correct database migration tools for a given scenario
  • Size database compute and storage based on performance requirements
Topic 4
  • Distinguish between SQL and NoSQL business requirements
  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
Topic 5
  • Evaluate performance and cost tradeoffs of different database configurations
  • Plan database upgrades for Google Cloud-managed databases
Topic 6
  • Automate database instance provisioning
  • Determine how applications will connect to the database
Topic 7
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
Topic 8
  • Reverse replication from Google Cloud to source
  • Evaluate appropriate database solutions on Google Cloud
Topic 9
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Topic 10
  • Design for recovery time objective (RTO) and recovery point objective (RPO)
  • Assess slow running queries and database locking and identify missing indexes
Topic 11
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations
Topic 12
  • Manage database users, including authentication and access
  • Continuously assess and optimize the cost of running a database solution
Topic 13
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically

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Google Professional-Cloud-Database-Engineer Certification Exam is a rigorous test that requires a deep understanding of Google Cloud Platform's database services. Candidates must have experience with Google Cloud SQL, Cloud Spanner, Cloud Bigtable, and other Google Cloud Platform database services. They should also have a good understanding of database design, data modeling, and database optimization.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q27-Q32):

NEW QUESTION # 27
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/quotas#table_limit


NEW QUESTION # 28
Your team recently released a new version of a highly consumed application to accommodate additional user traffic. Shortly after the release, you received an alert from your production monitoring team that there is consistently high replication lag between your primary instance and the read replicas of your Cloud SQL for MySQL instances. You need to resolve the replication lag. What should you do?

Answer: C


NEW QUESTION # 29
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

Answer: B

Explanation:
https://stackoverflow.com/questions/72034607/can-i-change-storage-type-from-hdd-to-ssd-on-cloud-sql-after-creating-an-instanc


NEW QUESTION # 30
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

Answer: B

Explanation:
https://cloud.google.com/architecture/migrating-postgresql-to-gcp


NEW QUESTION # 31
Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over. What should you do? (Choose two.)

Answer: B,C


NEW QUESTION # 32
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