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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Design globally distributed architectures 2. Plan scalability and availability strategies 3. Choose relational and non-relational databases
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Optimizing database performance	- Improve database efficiency 1. Troubleshoot performance bottlenecks 2. Tune queries and indexes 3. Optimize storage and compute resources
Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Configure backups and recovery 3. Manage maintenance and upgrades
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Ensure compliance and governance 2. Enable encryption and auditing 3. Configure IAM and access controls

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q28-Q33):

NEW QUESTION # 28
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
B. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
C. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
D. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

NEW QUESTION # 29
You are a DBA at a retail company. The production databases are running in Cloud SQL for MySQL Enterprise Plus edition, version 8.0.34, in the us-centrallregion. You need to set up and test disaster recovery (DR) with zero data loss in the us-west1region. What should you do-

A. Create a cross-region read replica, version 8.0.37, in the us-west1region. Designate it as the failover DR replica, and test switchover by using the gcloud switchovercommand.
B. Create a cross-region read replica, version 8.0.34, in the us-west1region. Test switchover by using the gcloud promote-replica with failovercommand.
C. Use advanced DR by setting up a cascading read replica in the us-west1region, and designate it as the failover DR replica. Test switchover by using the gcloud switchovercommand.
D. Create a cross-region read replica version 8.0.34, in the us-west1region. Designate it as the failover DR replica, and test switchover by using the gcloud switchovercommand.

Answer: D

Explanation:
You need to use Cloud SQL's Advanced DR feature (available on Enterprise-Plus) to get true zero-data-loss drills and failovers. That means:
1. Create a direct cross-region read replica in us-west1 using the same MySQL major-&-minor version (8.0.34) as your primary (zero data-loss switchover requires identical versions and Enterprise-Plus)
2. Designate that replica as your DR replica (the "failover DR replica" in the docs).
3. Test DR by running the built-in switchover, e.g.: gcloud sql instances switchover DR_REPLICA_NAMEwhich reverses roles with zero data loss

NEW QUESTION # 30
You are the database administrator of a Cloud SQL for PostgreSQL instance that has pgaudit disabled. Users are complaining that their queries are taking longer to execute and performance has degraded over the past few months. You need to collect and analyze query performance data to help identity slow-running queries. What should you do?

A. Use the Query Insights dashboard to identify high execution times.
B. White a Logs Explorer query to identify database queries with high execution times.
C. View Cloud SQL operations to view historical query information.
D. Review application logs to identify database calls.

Answer: A

NEW QUESTION # 31
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.
Keep backups older than one day stored in Actifio OnVault storage.
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.
Use the Oracle Recovery Manager (RMAN) backup utility to move backups older than one day to a Coldline Storage bucket.
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: B

Explanation:
This answer meets the RTO and RPO requirements by using flash storage for the database and standard storage for the local backup copy. It also meets the cost-effectiveness requirement by using Actifio OnVault storage, which is a low-cost, high-performance, and scalable storage solution that integrates with Google Cloud Backup and DR Service1.
References := 1: Solution Guide: Google Cloud Backup and DR for Oracle on Bare Metal Solution1

NEW QUESTION # 32
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. Begin with minimal read pools and iteratively expand or shrink them based on real-time load monitoring to optimize resource allocation.
B. Change the instance sizes of the read nodes in the read pool.
C. Direct all complex, long-running analytics queries to the primary instance, and only use read pools for short, frequent reports.
D. Assign all reporting queries to a single, large read pool to maximize the combined compute resources available for analytics.

Answer: A

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 # 33
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