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Earning the Google Professional-Cloud-Database-Engineer certification can help you advance your career in the field of cloud database management. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates that you have the skills and expertise required to design, develop, and maintain scalable and secure databases on the Google Cloud Platform. With this certification, you can enhance your job prospects and increase your earning potential. Additionally, you can gain recognition as a proficient database professional who can handle complex database management tasks on the cloud.

Google Professional-Cloud-Database-Engineer Certification Exam is designed to test the skills and knowledge of professionals who are responsible for managing and designing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is part of the Google Cloud Certified program, which recognizes individuals who have demonstrated their expertise in using Google Cloud technology.

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Google Professional-Cloud-Database-Engineer Certification Exam is a rigorous test that requires a deep understanding of Google Cloud Platform's database services. Candidates must have experience with Google Cloud SQL, Cloud Spanner, Cloud Bigtable, and other Google Cloud Platform database services. They should also have a good understanding of database design, data modeling, and database optimization.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q72-Q77):

NEW QUESTION # 72
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?

A. Set up bring your own IP (BYOIP) in your VPC.
B. Set up a Cloud NAT gateway on the Compute Engine VM.
C. Setup a static external IP address in your VPC network.
D. Set up Cloud NAT service.

Answer: B

Explanation:
https://cloud.google.com/bare-metal/docs/bms-setup?hl=en#bms-access-internet-vm-nat The docs specifically says "Setting up a NAT gateway on a Compute Engine VM" is the way to give BMS internet access.

NEW QUESTION # 73
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?

A. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
B. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
C. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.
D. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#serverless

NEW QUESTION # 74
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices.
What should you do?

A. Write a utility to scan database query logs.
B. Write a utility to scan application logs.
C. Use query tags to add application-centric database monitoring.
D. Shut down and restart each application.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/using-query-insights#filter_by_query_tags

NEW QUESTION # 75
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 solid-state drives (SSD).
B. Recommend mixed storage types.
C. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
D. Recommend hard disk drives (HDD).

Answer: A

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 # 76
You are running a transactional application on Cloud SQL for PostgreSQL in Google Cloud. The database is running in a high availability configuration within one region. You have encountered issues with data and want to restore to the last known pristine version of the database. What should you do?

A. Use the Cloud SQL point-in-time recovery (PITR) feature. Restore the copy from two hours ago to a new database instance.
B. Create a clone database from a read replica database, and restore the clone into a different zone.
C. Use the Cloud SQL database import feature. Import last week's dump file from Cloud Storage.
D. Create a clone database from a read replica database, and restore the clone in the same region.

Answer: A

Explanation:
Using import/export from last week is slow for large scale databases and will restore database from last week.

NEW QUESTION # 77
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