You work as a machine learning specialist at a ride sharing software company. You need to analyze the streaming ride data of your firm’s drivers. First, you need to clean, organize, and transform the drive data and load it into your firm’s data lake. So you can then use the data in your machine learning models in SageMaker. Which AWS services would give you the simplest solution?

Answer options:

A.Use Amazon Kinesis Data Streams to capture the streaming ride data. Use Amazon Kinesis Data Analytics to clean, organize, and transform the drive data and then output the data to your S3 data lake using a Lambda function.
B.Use Amazon Kinesis Data Streams to capture the streaming ride data. Have Amazon Kinesis Data Streams trigger a lambda function to clean, organize, and transform the drive data and then output the data to your S3 data lake.
C.Use Amazon Kinesis Data Streams to capture the streaming ride data. Have Kinesis Data Streams stream the data to a set of processing workers running in ECS Fargate. The workers send the data to your S3 data lake.
D.Use Amazon Kinesis Data Firehose to stream the data directly to your S3 data lake.

Answer: A
Option A is correct. Amazon Kinesis Data Analytics is a very efficient service for taking streams from Amazon Kinesis Data Streams and transforming them with SQL or Apache Flink. (See the Amazon Kinesis Data Analytics overview)
Option B is incorrect. Using Lambda to retrieve your ride data from your Kinesis Data Stream and process the data records would require more effort on your part as compared to using Kinesis Data Analytics to do the transformation work.
Option C is incorrect. Using ECS Fargate as an intermediary between Amazon Kinesis Data Streams and your data lake would require you to write the transformation logic in your ECS workers. This would not be the simplest solution to the options given.
Option D is incorrect. This option lacks the transformation aspect of the solution. 
Reference:
Please see the Amazon Kinesis Data Analytics documentation, and the AWS Lambda developer guide titled Tutorial: Using AWS Lambda with Amazon Kinesis (https://docs.aws.amazon.com/lambda/latest/dg/with-kinesis-example.html), and the Amazon Kinesis Data Analytics for SQL Applications Developer Guide SQL developer guide titled Using a Lambda Function as Output (https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-output-lambda.html)