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100% Pass Professional-Cloud-Database-Engineer - Google Cloud Certified - Professional Cloud Database Engineer–Reliable Real Questions

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q108-Q113):

NEW QUESTION # 108
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google- recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible.
What should you do?

A. For each application code, set up a common shared user account.
B. For the application server, set up a common shared user account.
C. For each application code, set up a dedicated user account.
D. For the application server, set up a service account.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

NEW QUESTION # 109
Your organization has a ticketing system that needs an online marketing analytics and reporting application.
You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

A. BigQuery
B. Bigtable
C. Cloud SQL
D. Cloud Spanner

Answer: A

NEW QUESTION # 110
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, 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, 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, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
D. 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.

Answer: C

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

NEW QUESTION # 111
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. Define a maintenance window on Sundays between 12 AM and 1 AM, 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. 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.

Answer: A

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 # 112
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

A. C.Deploy the database using Bigtable.
B. Use BigQuery, and load data in batches.
C. Deploy the database using Cloud SQL.
D. Deploy the database using Cloud Spanner.

Answer: A

Explanation:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi-structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured dat a. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.

NEW QUESTION # 113
......

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q108-Q113):

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