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NEW QUESTION 33
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?

• A. 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.
• B. Enable AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.
• C. 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.
• D. 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.

Answer: B

Explanation:
Explanation
"To ensure that your data was migrated accurately from the source to the target, we highly recommend that you use data validation." https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html

NEW QUESTION 34
A company has a web-based survey application that uses Amazon DynamoDB. During peak usage, when survey responses are being collected, a Database Specialist sees the ProvisionedThroughputExceededException error.
What can the Database Specialist do to resolve this error? (Choose two.)

• A. Change the table capacity mode to on-demand
• B. Change the table to use Amazon DynamoDB Streams
• C. Purchase DynamoDB reserved capacity in the affected Region
• D. Increase the write capacity units for the specific table
• E. Change the table type to throughput optimized

Answer: A,D

Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/switching.capacitymode.html

NEW QUESTION 35
A company's ecommerce website uses Amazon DynamoDB for purchase orders. Each order is made up of a Customer ID and an Order ID. The DynamoDB table uses the Customer ID as the partition key and the Order ID as the sort key.
To meet a new requirement, the company also wants the ability to query the table by using a third attribute named Invoice ID. Queries using the Invoice ID must be strongly consistent. A database specialist must provide this capability with optimal performance and minimal overhead.
What should the database administrator do to meet these requirements?

• A. Use the partition key and a FilterExpression parameter with a filter on Invoice ID for all queries.
• B. Add a global secondary index on Invoice ID to the existing table.
• C. Add a local secondary index on Invoice ID to the existing table.
• D. Recreate the table by using the latest snapshot while adding a local secondary index on Invoice ID.

Answer: D

NEW QUESTION 36
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