A company is planning on using DynamoDB for storing all data related to tweets. The data will go into millions of rows and needs to scale based on demand. At the same time, they need to ensure that the data from the DynamoDB table with all the tweets gets continually replicated to a DynamoDB table in another region. Which of the following can help effectively manage this requirement? Choose 2 answers from the options given below

Answer options:

A.Use Dynamodb Global Tables
B.Use DynamoDB Autoscaling
C.Use the KCL Library to store the data into the destination table
D.Use the KPL Library to store the data into the destination table

Answer – A and B
An example of this is given in the AWS Documentation
Option A is correct: Amazon DynamoDB global tables provide a fully managed solution for deploying a multi-region, multi-master database, without having to build and maintain your own replication solution. When you create a global table, you specify the AWS regions where you want the table to be available. DynamoDB performs all of the necessary tasks to create identical tables in these regions, and propagate ongoing data changes to all of them. 
For more information, click on: 
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GlobalTables.html
Option B is correct : Auto Scaling for DynamoDB will help automate capacity management for your tables and global secondary indexes. You simply specify the desired target utilization and provide upper and lower bounds for read and write capacity. 
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-any-scale/
Option D is incorrect since you need to use the KCL library to consume the tweets
For more information on working with streams and KCL, please refer to the below URL
https://aws.amazon.com/blogs/big-data/process-large-dynamodb-streams-using-multiple-amazon-kinesis-client-library-kcl-workers/