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Google Professional-Cloud-Database-Engineer Exam is a certification exam offered by Google Cloud that tests an individual's knowledge and skills in designing, developing, and managing cloud-based database solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who have experience in database administration, database development, and cloud computing.
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Google Professional-Cloud-Database-Engineer certification is a certification exam offered by Google Cloud that focuses on database management and engineering. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who are responsible for managing and designing enterprise database systems on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam measures the candidate's ability to design, build, and manage scalable and reliable databases on the Google Cloud Platform.
Google Professional-Cloud-Database-Engineer certification is a valuable certification for professionals who want to demonstrate their expertise in designing, developing, and managing GCP databases. Google Cloud Certified - Professional Cloud Database Engineer certification is highly valued in the industry, and it provides the candidate with a competitive edge in the job market. Professional-Cloud-Database-Engineer Exam Tests the candidate’s ability to design, develop, and administer GCP databases, and it requires a thorough understanding of GCP database services.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q152-Q157):
NEW QUESTION # 152
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 splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
- B. Recommend hard disk drives (HDD).
- C. Recommend solid-state drives (SSD).
- D. Recommend mixed storage types.
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 # 153
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, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
- 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, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
- 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 # 154
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 and Oracle databases to Compute Engine.
- C. Migrate applications and Oracle databases to Google Cloud VMware Engine (VMware Engine).
- D. Migrate applications to Cloud SQL.
Answer: C
Explanation:
A GCVE VMware environment runs natively on Google Cloud bare metal infrastructure in some Google Cloud locations, and the GCVE service includes all the features required to help consume the VMware platforms efficiently and securely.
https://cloud.google.com/blog/products/databases/migrate-databases-to-google-cloud-vmware-engine-gcve
NEW QUESTION # 155
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database.
Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us- central1 and the backup region of us-east1. What should you do?
- A. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-central1-b.
Create a read replica in us-east1-b. - B. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-west1-b.
Create a read replica in us-east1-c. - C. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east-b.
Create a read replica in us-east1-c. - D. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east1-b.
Create a read replica in us-central1-b.
Answer: A
Explanation:
https://cloud.google.com/sql/docs/sqlserver/intro-to-cloud-sql-disaster-recovery
NEW QUESTION # 156
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?
- A. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and
1AM, and deny maintenance periods between November 1 and January 15. - B. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.
- C. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
- D. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
Answer: D
Explanation:
Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance.
Deny maintenance periods can be up to 90 days long.
https://cloud.google.com/sql/docs/mysql/maintenance
NEW QUESTION # 157
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