A company has an application that uses an Amazon DynamoDB table to store user data. Every morning, a single-threaded process calls the DynamoDB API Scan operation to scan the entire table and generate a critical start-of-day report for management. A successful marketing campaign recently doubled the number of items in the table, and now the process takes too long to run and the report is not generated in time.
A database specialist needs to improve the performance of the process. The database specialist notes that, when the process is running, 15% of the table's provisioned read capacity units (RCUs) are being used.
What should the database specialist do?
A. Enable auto scaling for the DynamoDB table.
B. Use four threads and parallel DynamoDB API Scan operations.
C. Double the table's provisioned RCUs.
D. Set the Limit and Offset parameters before every call to the API.
A database specialist needs to improve the performance of the process. The database specialist notes that, when the process is running, 15% of the table's provisioned read capacity units (RCUs) are being used.
What should the database specialist do?
A. Enable auto scaling for the DynamoDB table.
B. Use four threads and parallel DynamoDB API Scan operations.
C. Double the table's provisioned RCUs.
D. Set the Limit and Offset parameters before every call to the API.