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Google Cloud Certified - Professional Cloud Database Engineer certification exam is ideal for database administrators, database engineers, and cloud architects who want to demonstrate their expertise in managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is highly regarded in the industry and can help professionals advance their careers and increase their earning potential. By passing this certification exam, professionals can showcase their skills and knowledge of cloud-native database services and design and implement highly available, scalable, and secure databases on Google Cloud.

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Google Professional-Cloud-Database-Engineer certification exam is designed for individuals who are interested in demonstrating their expertise in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam is intended for database professionals who have experience with Google Cloud SQL, Cloud Spanner, and Cloud Bigtable, among other Google Cloud database services.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q163-Q168):

NEW QUESTION # 163
Your rapidly growing ecommerce company is migrating their analytics workloads to AlloyDB for PostgreSQL. You anticipate a significant increase in reporting queries as the business scales.
You need a read pool strategy to scale your analytics operations in anticipation of future growth while minimizing costs. What should you do-

A. Direct all complex, long-running analytics queries to the primary instance, and only use read pools for short, frequent reports.
B. Assign all reporting queries to a single, large read pool to maximize the combined compute resources available for analytics.
C. Begin with minimal read pools and iteratively expand or shrink them based on real-time load monitoring to optimize resource allocation.
D. Change the instance sizes of the read nodes in the read pool.

Answer: C

Explanation:
Start with a small read-pool footprint and then scale it up or down as your query volume and performance needs evolve.
* Cost-efficient: You only pay for the read nodes you actually need at any given time, avoiding over-provisioning.
* Elastic scaling: Monitor your query latency and throughput, then add or remove read nodes to match the workload profile (e.g. heavy sales events vs. normal traffic).
* Minimal ops overhead: AlloyDB makes it simple to resize your read pool via the console or gcloud, so you can automate based on Cloud Monitoring alerts.

NEW QUESTION # 164
You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?

A. Use Migrate for Compute Engine to complete the migration.
B. Export the data from the existing database, and load the data into a new Cloud SQL database.
C. Use Database Migration Service to complete the migration.
D. Use Datastream to complete the migration.

Answer: C

Explanation:
https://www.cloudskillsboost.google/focuses/22792?parent=catalog

NEW QUESTION # 165
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

A. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
B. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.
C. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
D. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.

Answer: B

NEW QUESTION # 166
Your company is shutting down their on-premises data center and migrating their Oracle databases using Oracle Real Application Clusters (RAC) to Google Cloud. You want minimal to no changes to the applications during the database migration. What should you do?

A. Migrate the Oracle databases to Compute Engine.
B. Migrate the Oracle databases to Bare Metal Solution for Oracle.
C. Migrate the Oracle databases to Cloud SQL.
D. Migrate the Oracle databases to Cloud Spanner.

Answer: C

NEW QUESTION # 167
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

A. Use log messages produced by Cloud SQL.
B. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
C. Use Cloud SQL instance monitoring in the Google Cloud Console.
D. Use Query Insights for Cloud SQL.

Answer: B

NEW QUESTION # 168
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