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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q102-Q107):

NEW QUESTION # 102
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

• A. Shut down and restart each application.
• B. Write a utility to scan database query logs.
• C. Write a utility to scan application logs.
• D. Use query tags to add application-centric database monitoring.

Answer: B
NEW QUESTION # 103
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this dat a. What should you do?

• A. Use Identity and Access Management (IAM) for Bigtable access control.
• B. Use VPC Service Controls to create a trusted network for the Bigtable service.
• C. Use Google Cloud Armor to add IP addresses to an allowlist.
• D. Use customer-managed encryption keys (CMEK).

Answer: B
NEW QUESTION # 104
You are the database administrator of a Cloud SQL for PostgreSQL instance that has pgaudit disabled. Users are complaining that their queries are taking longer to execute and performance has degraded over the past few months. You need to collect and analyze query performance data to help identity slow-running queries. What should you do?

• A. White a Logs Explorer query to identify database queries with high execution times.
• B. Review application logs to identify database calls.
• C. View Cloud SQL operations to view historical query information.
• D. Use the Query Insights dashboard to identify high execution times.

Answer: D
NEW QUESTION # 105
Your company wants to move to Google Cloud. Your current data center is closing in six months. You are running a large, highly transactional Oracle application footprint on VMWare. You need to design a solution with minimal disruption to the current architecture and provide ease of migration to Google Cloud. What should you do?

• A. Migrate applications and Oracle databases to Google Kubernetes Engine (GKE).
• B. Migrate applications and Oracle databases to Google Cloud VMware Engine (VMware Engine).
• C. Migrate applications and Oracle databases to Compute Engine.
• D. Migrate applications to Cloud SQL.

Answer: B
NEW QUESTION # 106
You are running an instance of Cloud Spanner as the backend of your ecommerce website. You learn that the quality assurance (QA) team has doubled the number of their test cases. You need to create a copy of your Cloud Spanner database in a new test environment to accommodate the additional test cases. You want to follow Google-recommended practices. What should you do?

• A. Use Cloud Functions to run the export in text format.
• B. Use Cloud Functions to run the export in Avro format.
• C. Use Dataflow to run the export in text format.
• D. Use Dataflow to run the export in Avro format.

Answer: D
NEW QUESTION # 107
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