Tick-Bank is a privately held Internet retailer of both physical and digital products founded in 2008. The company has more than six-million clients worldwide. Tick-Bank aims to serve as a connection between digital content makers and affiliate dealers, who then promote them to clients. Tick-Bank`s technology aids in payments, tax calculations and a variety of customer service tasks. Tick-Bank assists in building perceptibility and revenue making opportunities for entrepreneurs.
Tick-Bank runs multiple java based web applications running on windows based EC2 machines in AWS managed by internal IT Java team, to serve various business functions. Tick-Bank is looking to enable web-site traffic analytics there by understanding user navigational behavior,
preferences and other click related info. The amount of data captured per click is in tens of bytes. Tick-Bankhas the following objectives in mind for the solution.
Tick-Bank has multiple data streams supporting various business processes. To optimize the costs, Tick-Bank wants to use batching methods (aggregation and collection) appropriate library to process the data. Which library supports aggregation mechanism. select 1 option.

Answer options:

A.KPL (Kinesis Producer Library) supports batching of user records, both aggregation and collection
B.Kinesis Agent supports batching of user records, both aggregation and collection
C.Amazon Kinesis Data Streams API supports batching of user records, both aggregation and collection
D.None of the above.

Answer: A
Option A is correct - KPL supports batching of records. Batching refers to performing a single action on multiple items instead of repeatedly performing the action on each individual item.
In this context, the "item" is a record, and the action is sending it to Kinesis Data Streams. In a non-batching situation, you would place each record in a separate Kinesis Data Streams record and make one HTTP request to send it to Kinesis Data Streams. With batching, each HTTP request can carry multiple records instead of just one.
The KPL supports two types of batching:
Aggregation – Storing multiple records within a single Kinesis Data Streams record.
Collection – Using the API operation PutRecords to send multiple Kinesis Data Streams records to one or more shards in your Kinesis data stream.
The two types of KPL batching are designed to coexist and can be turned on or off independently of one another. By default, both are turned on.
https://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-concepts.html
Option B is incorrect -Develop producers using the Amazon Kinesis Data Streams API with the AWS SDK for Java. Batching is not supported/ 
https://docs.aws.amazon.com/streams/latest/dev/developing-producers-with-sdk.html
Option C is incorrect -Kinesis Agent is a stand-alone Java software application that offers an easy way to collect and send data to Kinesis Data Streams. The agent continuously monitors a set of files and sends new data to your stream. The agent handles file rotation, checkpointing, and retry upon failures. It delivers all of your data in a reliable, timely, and simple manner. It also emits Amazon CloudWatch metrics to help you better monitor and troubleshoot the streaming process. Batching is not supported. 
https://docs.aws.amazon.com/streams/latest/dev/writing-with-agents.html