A company is planning on using Kinesis streams firehose to stream their log data from various web servers that host the Apache web server. An application will then read the data which needs to be in JSON format from the underlying destination bucket. Which of the following ideally needs to be in place to ensure that this flow can be implemented?

Answer options:

A.Ensure that a Lambda transformation is used along with Kinesis Firehose
B.Ensure that the KPL library is used to parse the records in JSON format.
C.Ensure that the KCL library is used to parse the records in JSON format.
D.Change the configuration of the underlying Kinesis data firehose stream to store JSON formatted data

Answer - A
The AWS Documentation mentions the following
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Lambda Blueprints
Kinesis Data Firehose provides the following Lambda blueprints that you can use to create a Lambda function for data transformation.
General Firehose Processing — Contains the data transformation and status model described in the previous section. Use this blueprint for any custom transformation logic.
Apache Log to JSON — Parses and converts Apache log lines to JSON objects, using predefined JSON field names.
Apache Log to CSV — Parses and converts Apache log lines to CSV format.
Syslog to JSON — Parses and converts Syslog lines to JSON objects, using predefined JSON field names.
Syslog to CSV — Parses and converts Syslog lines to CSV format.
Kinesis Data Firehose Process Record Streams as source — Accesses the Kinesis Data Streams records in the input and returns them with a processing status.
Kinesis Data Firehose CloudWatch Logs Processor — Parses and extracts individual log events from records sent by CloudWatch Logs subscription filters.
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Options B and C are incorrect since this needs to be done by an AWS Lambda function
Option D is incorrect since there is no such configuration option
For more information on data transformation, please refer to the below URL
https://docs.aws.amazon.com/firehose/latest/dev/data-transformation.html