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Free Professional-Cloud-Database-Engineer Questions Attempt

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Total 141 questions
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Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Question 33

You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

Options:

A.

Check the cloudsql.googleapis.com/postgres.log instance log.

B.

Perform the gcloud sql operations list command.

C.

Use Cloud Audit Logs to verify the status.

D.

Use the Google Cloud Console.

Question 34

You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?

Options:

A.

Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.

B.

Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.

C.

Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.

D.

Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.

Question 35

You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.

You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

Options:

A.

Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage.

Upload the changes into BigQuery, and merge them with existing tables.

B.

Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.

C.

Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

D.

Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.

Question 36

You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

Options:

A.

Create a VM in Compute Engine, and run a cron job.

B.

Create a Cloud Composer instance, and create a directed acyclic graph (DAG).

C.

Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.

D.

Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.

Page: 9 / 11
Total 141 questions
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