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

Topic	Details
Topic 1	Automate database instance provisioning Determine how applications will connect to the database
Topic 2	Manage database users, including authentication and access Continuously assess and optimize the cost of running a database solution
Topic 3	Distinguish between SQL and NoSQL business requirements Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
Topic 4	Design for recovery time objective (RTO) and recovery point objective (RPO) Assess slow running queries and database locking and identify missing indexes
Topic 5	Analyze relevant variables to perform database capacity and usage planning Design scalable, highly available, and secure databases
Topic 6	Provision high availability database solutions in Google Cloud Design scalable and highly available cloud database solutions
Topic 7	Plan and perform database migration, including fallback plans and schema conversion Test high availability and disaster recovery strategies periodically
Topic 8	Deploy scalable and highly available databases in Google Cloud Determine database connectivity and access management considerations

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q54-Q59):

NEW QUESTION # 54
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer dat a. You want to design a multi-tenancy strategy to efficiently manage costs and operations. What should you do?

• A. Apply a schema data management pattern.
• B. Apply a table data management pattern.
• C. Apply an instance data management pattern.
• D. Apply a database data management pattern.

Answer: C
NEW QUESTION # 55
Your company is migrating their MySQL database to Cloud SQL and cannot afford any planned downtime during the month of December. The company is also concerned with cost, so you need the most cost-effective solution. What should you do?

• A. Create a MySQL regional instance so that, if any downtime occurs, the standby instance will act as the primary instance during the month of December.
• B. Create MySQL read replicas in different zones so that, if any downtime occurs, the read replicas will act as the primary instance during the month of December.
• C. Use Cloud SQL maintenance settings to prevent any maintenance during the month of December.
• D. Open a support ticket in Google Cloud to prevent any maintenance in that MySQL instance during the month of December.

Answer: C
NEW QUESTION # 56
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?

• A. Keep the total CPU utilization under 45% in each region.
• B. Add more read-write replicas.
• C. Use staleness of at least 15 seconds.
• D. Place the bulk of the read and write workloads closer to the default leader region.

Answer: B
NEW QUESTION # 57
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

• A. Create migration job using Database Migration Service.
  Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
  Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
  Update your application connections to the new instance.
• B. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
  Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
  Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
• C. Create migration job using Database Migration Service.
  Set the migration job type to One-time, and perform this migration during a maintenance window.
  Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
  Update your application connections to the new instance.
• D. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
  Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
  Continue to dump each database until all the databases are migrated.
  Update your application connections to the new instance.

Answer: C
NEW QUESTION # 58
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?

• A. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
• B. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
• C. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
• D. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.

Answer: D
NEW QUESTION # 59
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