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Professional-Cloud-Database-Engineer Leak Questions

Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Question 17

You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

Options:

A.

Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.

B.

Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.

C.

Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.

D.

Use Cloud Composer to execute a select * from table(s) query and export results.

Question 18

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?

Options:

A.

Deploy the database using Cloud SQL.

B.

Use BigQuery, and load data in batches.

C.

Deploy the database using Bigtable.

D.

Deploy the database using Cloud Spanner.

Question 19

You are a DBA of Cloud SQL for PostgreSQL. You want the applications to have password-less authentication for read and write access to the database. Which authentication mechanism should you use?

Options:

A.

Use Identity and Access Management (IAM) authentication.

B.

Use Managed Active Directory authentication.

C.

Use Cloud SQL federated queries.

D.

Use PostgreSQL database's built-in authentication.

Question 20

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.