HikeHills.com (HH) is an online specialty retailer that sells clothing and outdoor refreshment gear for trekking, go camping, boulevard biking, mountain biking, rock hiking, ice mountaineering, skiing, avalanche protection, snowboarding, fly fishing, kayaking, rafting, road and trace running, and many more.
HHruns their entire online infrastructure on java based web applications running on AWS. The HH is capturing click stream data and use custom-build recommendation engine to recommend products which eventually improve sales, understand customer preferences and already using AWS kinesis KPL to collect events and transaction logs and process the stream. The syslog size is around 12 bytes.
HHhas the following requirements to process the data that is being ingested -
Apply transformation of syslog data to JSON and CSV format and store it into different buckets to support different processing needs
Capture transformation failures into same S3 bucket to address audit
Backup the syslog streaming data into S3 bucket
How can this be achieved? select 3 options.

Answer options:

A.Data transformation from syslog to JSON and CSV can be performed through Lambda blueprints
B.Data transformation from syslog to JSON is performed through Lambda, but transformation to CSV is performed implicitly by Kinesis Firehose
C.Data transformation from syslog to CSV is performed through Lambda, but transformation to JSON is performed implicitly by Kinesis Firehose
D.when S3 is selected as destination, and Source record S3 backup is enabled, untransformed incoming data can be delivered to a separate S3 bucket
E.S3 backups can be managed to bucket policies
F.Data Transformation failures are delivered to processing-failed folder
G.Data Transformation failures are delivered to transform-failed folder

Answer: A, D, F
Option A is correct -Kinesis Data Firehose provides Lambda blueprints that you can use to create a Lambda function for datatransformation 
https://docs.aws.amazon.com/firehose/latest/dev/data- transformation.html#lambda-blueprints
Option B is incorrect - Kinesis Data Firehose provides Lambda blueprints that you can use to create a Lambda function for data transformation 
https://docs.aws.amazon.com/firehose/latest/dev/data- transformation.html#lambda-blueprints
Option C is incorrect -Kinesis Data Firehose provides Lambda blueprints that you can use to create a Lambda function for data transformation 
https://docs.aws.amazon.com/firehose/latest/dev/data- transformation.html#lambda-blueprints
Option D is correct -when S3 is selected as destination, and Source record S3 backup is enabled, untransformed incoming data can be delivered to a separate S3 bucket 
https://docs.aws.amazon.com/firehose/latest/dev/create- destination.html#create-destination-s3
Option E is incorrect -when S3 is selected as destination, and Source record S3 backup is enabled, untransformed incoming data can be delivered to a separate S3 bucket 
https://docs.aws.amazon.com/firehose/latest/dev/create- destination.html#create-destination-s3
Option F is correct - If data transformation fails, the unsuccessfully processed records are delivered to your S3 bucket in the processing-failed folder 
https://docs.aws.amazon.com/firehose/latest/dev/data- transformation.html#data-transformation-failure-handling
Option G is incorrect -If data transformation fails, the unsuccessfully processed records are delivered to your S3 bucket in the processing-failed folder 
https://docs.aws.amazon.com/firehose/latest/dev/data- transformation.html#data-transformation-failure-handling