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How can a developer process a Kinesis Data Firehose stream containing sensitive customer data by removing identifiable information and storing the sanitized data in an Amazon S3 bucket?
A
Use AWS Lambda for data transformation within Kinesis Data Firehose, targeting the removal of customer identifiers, with S3 as the output destination.
B
Deploy an EC2 instance to handle the stream, apply data cleansing operations to eliminate identifiers, and subsequently store the output in S3.
C
Utilize Amazon OpenSearch Service for the stream's destination, perform identifier removal through search and replace, then export cleaned data to S3.
D
Employ AWS Step Functions to manage identifier removal, with the sequence concluding in data storage within an S3 bucket, using the workflow as the stream's destination.