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Professional-Cloud-Database-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud Database Engineer

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Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Question 1

You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

Options:

A.

Automate instance creation by writing a Dataflow job.

B.

Automate instance creation by setting up Terraform scripts.

C.

Create the instances using the Google Cloud Console UI.

D.

Create clones from a template Cloud SQL instance.

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Question 2

Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

Options:

A.

Normalize the database to the third normal form.

B.

Compress the data using a different compression algorithm.

C.

Manually or automatically increase the storage capacity.

D.

Create another schema to load older data.

Question 3

You work for a large retail and ecommerce company that is starting to extend their business globally. Your company plans to migrate to Google Cloud. You want to use platforms that will scale easily, handle transactions with the least amount of latency, and provide a reliable customer experience. You need a storage layer for sales transactions and current inventory levels. You want to retain the same relational schema that your existing platform uses. What should you do?

Options:

A.

Store your data in Firestore in a multi-region location, and place your compute resources in one of the constituent regions.

B.

Deploy Cloud Spanner using a multi-region instance, and place your compute resources close to the default leader region.

C.

Build an in-memory cache in Memorystore, and deploy to the specific geographic regions where your application resides.

D.

Deploy a Bigtable instance with a cluster in one region and a replica cluster in another geographic region.