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Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who want to validate their expertise in designing, developing, and managing cloud-based database solutions using Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Database Engineer certification is part of the Google Cloud Certified program that offers a range of certifications for IT professionals. Google Cloud Certified - Professional Cloud Database Engineer certification exam evaluates the candidate's skills in cloud database administration, data modeling, security, scalability, and performance optimization.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q142-Q147):

NEW QUESTION # 142
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google- recommended practices to optimize platform costs. What should you do?

A. Remove inactive user accounts.
B. Use Query Insights to identify idle instances.
C. Run the Recommender API to identify overprovisioned instances.
D. Build indexes on heavily accessed tables.

Answer: C

Explanation:
https://cloud.google.com/recommender/docs/overview

NEW QUESTION # 143
Your organization is migrating 50 TB Oracle databases to Bare Metal Solution for Oracle. Database backups must be available for quick restore. You also need to have backups available for 5 years. You need to design a cost-effective architecture that meets a recovery time objective (RTO) of 2 hours and recovery point objective (RPO) of 15 minutes. What should you do?

A. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on all flash storage.
Keep backups older than one day stored in Actifio OnVault storage.
B. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on standard storage.
Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to a Coldline Storage bucket.
C. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on standard storage.
Keep backups older than one day stored in Actifio OnVault storage.
D. Create the database on a Bare Metal Solution server with the database running on flash storage.
Keep a local backup copy on all flash storage.
Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to an Archive Storage bucket.

Answer: C

NEW QUESTION # 144
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Add more nodes to the Bigtable cluster.
B. Isolate the data analysts and operations user groups to use different Bigtable instances.
C. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
D. Use Key Visualizer for Bigtable.

Answer: D

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 145
Which Google Cloud pairing offers a fully managed MongoDB service with live migration that supports continuous schema changes, data validation, rapid rollback, and cutover in under 20 minutes?

A. Database Migration Service and AlloyDB for PostgreSQL
B. MongoDB Atlas Live Migration and MongoDB Atlas on Google Cloud
C. Cloud Dataflow with MongoDB connector and Firestore in Native mode

Answer: B

Explanation:
MongoDB Atlas provides a fully managed MongoDB service on Google Cloud with automated operations, scaling, and high availability. Atlas Live Migration performs an initial sync then continuously replicates changes from the source, which allows you to keep applications online while you validate data and adjust schemas. It supports data validation and enables a quick cutover with the ability to roll back by directing traffic back to the source if needed.

NEW QUESTION # 146
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

A. Set Terraform deletion_protection to true.
B. Use point-in-time-recovery (PITR) to recover the database.
C. Rerun terraform apply.
D. Create a read replica.

Answer: A

Explanation:
. From Google's documentation, "For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources

NEW QUESTION # 147
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