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Google Cloud Certified - Professional Cloud Database Engineer certification is an excellent way for IT professionals to demonstrate their expertise in cloud-based database management. It is a valuable credential for individuals seeking career advancement opportunities in the field of cloud computing. With this certification, individuals can demonstrate their knowledge and skills to potential employers and clients, making them stand out in a competitive job market.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q73-Q78):

NEW QUESTION # 73
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the primary backend database for game state storage and player authentication. You want to track in-game rewards that players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than anticipated, but the query response times are within the SLA.
You want to follow Google-recommended practices. You need the database to be performant and highly available while you keep costs low. What should you do?

A. Manually scale down the number of nodes after the peak period has passed.
B. Use granular instance sizing in Cloud Spanner and Autoscaler.
C. Use interleaving to co-locate parent and child rows.
D. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.

Answer: D

NEW QUESTION # 74
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. Add more read-write replicas.
B. Keep the total CPU utilization under 45% in each region.
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: A

NEW QUESTION # 75
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections.
You checked memory and CPU usage, and sufficient resources are available. You want to follow Google- recommended practices to ensure that the import will not time out. What should you do?

A. Close idle connections or restart the instance before beginning the import operation.
B. Increase the amount of memory allocated to your instance.
C. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
D. Ensure that the service account has the Storage Admin role.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting

NEW QUESTION # 76
You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

A. Check the cloudsql.googleapis.com/postgres.log instance log.
B. Perform the gcloud sql operations list command.
C. Use the Google Cloud Console.
D. Use Cloud Audit Logs to verify the status.

Answer: D

NEW QUESTION # 77
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

A. Compress the data using a different compression algorithm.
B. Create another schema to load older data.
C. Manually or automatically increase the storage capacity.
D. Normalize the database to the third normal form.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/instance-settings#storage-capacity-2ndgen

NEW QUESTION # 78
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