Free DBS-C01 Exam Braindumps (page: 8)

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A company wants to migrate its existing on-premises Oracle database to Amazon Aurora PostgreSQL. The migration must be completed with minimal downtime using AWS DMS. A Database Specialist must validate that the data was migrated accurately from the source to the target before the cutover. The migration must have minimal impact on the performance of the source database.
Which approach will MOST effectively meet these requirements?

  1. Use the AWS Schema Conversion Tool (AWS SCT) to convert source Oracle database schemas to the target Aurora DB cluster. Verify the datatype of the columns.
  2. Use the table metrics of the AWS DMS task created for migrating the data to verify the statistics for the tables being migrated and to verify that the data definition language (DDL) statements are completed.
  3. Enable the AWS Schema Conversion Tool (AWS SCT) premigration validation and review the premigration checklist to make sure there are no issues with the conversion.
  4. Enable AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.

Answer(s): D

Explanation:


Reference:

https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Validating.html



A company is planning to close for several days. A Database Specialist needs to stop all applications along with the DB instances to ensure employees do not have access to the systems during this time. All databases are running on Amazon RDS for MySQL.

The Database Specialist wrote and executed a script to stop all the DB instances.
When reviewing the logs, the Database Specialist found that Amazon RDS DB instances with read replicas did not stop.

How should the Database Specialist edit the script to fix this issue?

  1. Stop the source instances before stopping their read replicas
  2. Delete each read replica before stopping its corresponding source instance
  3. Stop the read replicas before stopping their source instances
  4. Use the AWS CLI to stop each read replica and source instance at the same time

Answer(s): B



A global digital advertising company captures browsing metadata to contextually display relevant images, pages, and links to targeted users. A single page load can generate multiple events that need to be stored individually. The maximum size of an event is 200 KB and the average size is 10 KB. Each page load must query the user’s browsing history to provide targeting recommendations. The advertising company expects over 1 billion page visits per day from users in the United States, Europe, Hong Kong, and India. The structure of the metadata varies depending on the event. Additionally, the browsing metadata must be written and read with very low latency to ensure a good viewing experience for the users.

Which database solution meets these requirements?

  1. Amazon DocumentDB
  2. Amazon RDS Multi-AZ deployment
  3. Amazon DynamoDB global table
  4. Amazon Aurora Global Database

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GlobalTables.html



A Database Specialist modified an existing parameter group currently associated with a production Amazon RDS for SQL Server Multi-AZ DB instance. The change is associated with a static parameter type, which controls the number of user connections allowed on the most critical RDS SQL Server DB instance for the company. This change has been approved for a specific maintenance window to help minimize the impact on users.

How should the Database Specialist apply the parameter group change for the DB instance?

  1. Select the option to apply the change immediately
  2. Allow the preconfigured RDS maintenance window for the given DB instance to control when the change is applied
  3. Apply the change manually by rebooting the DB instance during the approved maintenance window
  4. Reboot the secondary Multi-AZ DB instance

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Troubleshooting.html



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