Professional-Cloud-Database-Engineer Valid Test Objectives & Test Professional-Cloud-Database-Engineer Lab Questions

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

Section	Objectives
Topic 1: Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Topic 2: Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Design globally distributed architectures 3. Plan scalability and availability strategies
Topic 3: Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Troubleshoot performance bottlenecks 3. Tune queries and indexes
Topic 4: Securing and ensuring compliance of database solutions	- Implement security best practices 1. Enable encryption and auditing 2. Configure IAM and access controls 3. Ensure compliance and governance
Topic 5: Managing database solutions	- Deploy and administer databases 1. Manage maintenance and upgrades 2. Configure backups and recovery 3. Implement monitoring and alerting

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q62-Q67):

NEW QUESTION # 62
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. Thedatabase 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 resize2fs command to extend the disk.
B. 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
C. 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.
D. 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.

Answer: A

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

NEW QUESTION # 63
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?

A. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
C. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
D. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.

Answer: B

Explanation:
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region

NEW QUESTION # 64
You are migrating an on-premises application to Compute Engine and Cloud SQL. The application VMs will live in their own project, separate from the Cloud SQL instances which have their own project. What should you do to configure the networks?

A. Use the default networks, and leverage Cloud VPN to connect the two together.
B. Create a new VPC network in each project, and use VPC Network Peering to connect the two together.
C. Create a Shared VPC that both the application VMs and Cloud SQL instances will use.
D. Place both the application VMs and the Cloud SQL instances in the default network of each project.

Answer: C

Explanation:
https://groups.google.com/g/google-cloud-sql-discuss/c/M5G5_HPXytY?pli=1

NEW QUESTION # 65
Your company wants to move to Google Cloud. Your current data center is closing in six months. You are running a large, highly transactional Oracle application footprint on VMWare. You need to design a solution with minimal disruption to the current architecture and provide ease of migration to Google Cloud. What should you do?

A. Migrate applications and Oracle databases to Google Kubernetes Engine (GKE).
B. Migrate applications to Cloud SQL.
C. Migrate applications and Oracle databases to Google Cloud VMware Engine (VMware Engine).
D. Migrate applications and Oracle databases to Compute Engine.

Answer: C

NEW QUESTION # 66
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

A. Recommend hard disk drives (HDD).
B. Recommend mixed storage types.
C. Recommend solid-state drives (SSD).
D. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.

Answer: C

Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.

NEW QUESTION # 67
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