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-Bank has the following objectives in mind for the solution.
Tick-Bank uses KPL to process the data and KCL library to consume the records. Tick-Bank has multiple data streams supporting various business processes. Since the amount of data
generated by stream is very small, planning to use API operation PutRecords to send multiple Kinesis Data Streams records to one or more shards in your Kinesis data stream. Please detail the specifications of implementation.
Select 3 options.

Answer options:

A.Batchingof records is part of implementation.
B.Batchingof records is not a part of implementation.
C.Perform aggregation by storing multiple records within a single Kinesis Data Streams record.
D.Perform collection by send multiple Kinesis Data Streams records to one or more shards in your Kinesis data stream.
E.Aggregation and Collection cannot coexist and cannot be turned on or off independently of one another.

Answer: A,C,D
Option A is correct -Batching refers to performing a single action on multiple items instead of repeatedly performing the action on each individual item. Batching of records is part of implementation. 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.
https://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-concepts.html
Option B is incorrect -Batching refers to performing a single action on multiple items instead of repeatedly performing the action on each individual item. Batching of records is part of implementation. 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.
https://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-concepts.html
Option C is correct -Aggregation refers to the storage of multiple records in a Kinesis Data Streams record. Aggregation allows customers to increase the number of records sent per API call, which effectively increases producer throughput. 
https://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-concepts.html
Option D is corerct -Collection refers to batching multiple Kinesis Data Streams records and sending them in a single HTTP request with a call to the API operation PutRecords, instead of sending each Kinesis Data Streams record in its own HTTP request.
This increases throughput compared to using no collection because it reduces the overhead of making many separate HTTP requests. In fact, PutRecords itself was specifically designed for this purpose.
Collection differs from aggregation in that it is working with groups of Kinesis Data Streams records. The Kinesis Data Streams records being collected can still contain multiple records from the user. 
https://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-concepts.html
Option E is incorrect -Aggregation and Collection can 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