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Google Cloud Certified - Professional Cloud Database Engineer exam is a computer-based test that consists of multiple-choice and multiple-select questions. Professional-Cloud-Database-Engineer Exam Duration is two hours, and the passing score is 70%. Professional-Cloud-Database-Engineer exam can be taken online or at a testing center.

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The Google Professional-Cloud-Database-Engineer exam consists of multiple choice and multiple select questions, with a total of 50 questions that must be completed within a time limit of two hours. To pass the exam, candidates must achieve a score of 70% or higher. Professional-Cloud-Database-Engineer Exam can be taken online or in-person at a Google Cloud testing center.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q173-Q178):

NEW QUESTION # 173
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?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/using-ood-recommender#apply_recommendations


NEW QUESTION # 174
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command. What should you do?

Answer: D

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover


NEW QUESTION # 175
You want to migrate your PostgreSQL database from another cloud provider to Cloud SQL. You plan on using Database Migration Service and need to assess the impact of any known limitations. What should you do? (Choose two.)

Answer: D,E

Explanation:
https://cloud.google.com/database-migration/docs/postgres/known-limitations


NEW QUESTION # 176
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

Answer: C

Explanation:
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.


NEW QUESTION # 177
Your organization has a busy transactional Cloud SQL for MySQL instance. Your analytics team needs access to the data so they can build monthly sales reports. You need to provide data access to the analytics team without adversely affecting performance. What should you do?

Answer: D


NEW QUESTION # 178
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