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A company wants to share data with a vendor in real time to improve the...

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A company wants to share data with a vendor in real time to improve the performance of the vendor's ML models. The vendor needs to ingest the data in a stream. The vendor will use only some of the columns from the streamed data.

Which solution will meet these requirements?

A.

Use AWS Data Exchange to stream the data to an Amazon S3 bucket. Use an Amazon Athena CREATE TABLE AS SELECT (CTAS) query to define relevant columns.

B.

Use Amazon Kinesis Data Streams to ingest the data. Use Amazon Managed Service for Apache Flink as a consumer to extract relevant columns.

C.

Create an Amazon S3 bucket. Configure the S3 bucket policy to allow the vendor to upload data to the S3 bucket. Configure the S3 bucket policy to control which columns are shared.

D.

Use AWS Lake Formation to ingest the data. Use the column-level filtering feature in Lake Formation to extract relevant columns.

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