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

TopicDetails
Topic 1
  • Design for recovery time objective (RTO) and recovery point objective (RPO)
  • Assess slow running queries and database locking and identify missing indexes
Topic 2
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations
Topic 3
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Topic 4
  • Reverse replication from Google Cloud to source
  • Evaluate appropriate database solutions on Google Cloud
Topic 5
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
Topic 6
  • Manage database users, including authentication and access
  • Continuously assess and optimize the cost of running a database solution
Topic 7
  • 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 8
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
Topic 9
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically
Topic 10
  • Determine the correct database migration tools for a given scenario
  • Size database compute and storage based on performance requirements

Reference: https://cloud.google.com/certification/cloud-database-engineer

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:

You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

  • A. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
  • B. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.
  • C. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
  • D. Create one regional Cloud SQL instance with a read replica in another region.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Your organization has a ticketing system that needs an online marketing analytics and reporting application. You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

  • A. BigQuery
  • B. Cloud SQL
  • C. Cloud Spanner
  • D. Bigtable
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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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-

  • A. Add a new cluster to the existing instance, and enable multi-cluster routing in the app profile.
  • B. Scale up the Bigtable instance by enabling Autoscaling.
  • C. Add a new cluster to the existing instance, and isolate the workloads with two app profiles.
  • D. Scale up the Bigtable instance by manually adding more nodes.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database.
What should you do?

  • A. Recommend hard disk drives (HDD).
  • B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
  • C. Recommend solid-state drives (SSD).
  • D. Recommend mixed storage types.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

You are migrating your 10 TB on-premises PostgreSQL database to Cloud SQL for PostgreSQL by using Database Migration Service. During the migration, there will be schema changes in the source database. You need to ensure any schema changes are replicated, while keeping disruption to the ongoing migration to a minimum.
What should you do?

  • A. Make the schema changes in the source by using the pglogical.replicate_ddl_command PostgreSQL extension.
  • B. Stop the Database Migration Service migration job. Make the schema changes in the source.Restart the Database Migration Service migration job.
  • C. Make the schema changes in the destination by using the
    pglogical.replicate_ddl_commandPostgreSQL extension.
  • D. Make the schema changes in both source and destination after stopping writes in source.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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