Your team is developing a solution that will make use of DynamoDB tables. Currently, the application is designed to perform scans on the entire table. Which of the following can be done to re-design and improve the application`s performance when it interacts with the DynamoDB table? Choose 2 answers from the options given below.

Answer options:

A.Consider using parallel scans.
B.Consider using large tables.
C.Consider using string partition keys.
D.Consider using queries.

Answer – A and D
The AWS Documentation mentions the following.
Many applications can benefit from using parallel Scan operations rather than sequential scans. For example, an application that processes a large table of historical data can perform a parallel scan much faster than a sequential one. Multiple worker threads in a background "sweeper" process could scan a table at a low priority without affecting production traffic. In each of these examples, a parallel Scan is used in such a way that it does not starve other applications of provisioned throughput resources.
If possible, you should avoid using a Scan operation on a large table or index with a filter that removes many results. Also, as a table or index grows, the Scan operation slows. The Scan operation examines every item for the requested values and can use up the provisioned throughput for a large table or index in a single operation. For faster response times, design your tables and indexes so that your applications can use Query instead of Scan.
Option B is incorrect since having larger tables would make the issue worse.
Option C is incorrect since this would not help in the issue.
For more information on scans and queries, please refer to the below URL-
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html