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Professional-Cloud-Database-Engineeroφ} & Professional-Cloud-Database-Engin
Posted at 2/5/2026 16:52:19
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Google Professional-Cloud-Database-EngineerJԇYϡGoogle Cloud PlatformϤǥǩ`٩``OӋӹ댟TҤΥ^뤳ȤdζOӋƤޤJϡ饦ɥ٩`Υǩ`٩`Q֪R^ꥢҊͨϤ뤿줿Ǥ
Google Cloud Certified - Professional Cloud Database Engineer J Professional-Cloud-Database-Engineer ԇY} (Q12-Q17):| # 12
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)
- A. Create a PostgreSQL database on-premises as the HA option.
- B. Enable point-in-time recovery.
- C. Set up manual backups.
- D. Configure single zone availability for automated backups.
- E. Schedule automated backups.
⣺AB
| # 13
You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest data.
You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?
- A. Queue up all the requested reports in PubSub, and execute the reports at night.
- B. Create a read replica for the Sales Reporting application.
- C. Use a Cloud SQL federated query for the Sales Reporting application.
- D. Create two separate databases in the instance, and perform dual writes from the Order Management application.
⣺B
| # 14
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?
- A. Use Cloud Spanner with a custom autoscaling solution.
- B. Use a Biglable cluster with autoscaling.
- C. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
- D. Use sharded Cloud SQL instances with one or more stores per database instance.
⣺A
h
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud
| # 15
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. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.
- B. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
- C. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.
- D. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
⣺A
| # 16
Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-recommended practices and use Google native data migration tools. You also want to closely monitor the migrations as part of the cutover strategy. What should you do?
- A. Use a combination of Database Migration Service and partner tools to support the data migration strategy.
- B. Use Database Migration Service for one-time migrations, and use third-party or partner tools for change data capture (CDC) style migrations.
- C. Use data replication tools and CDC tools to enable migration.
- D. Use Database Migration Service to migrate all databases to Cloud SQL.
⣺B
| # 17
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