MLS-C01 · Question #272
MLS-C01 Question #272: Real Exam Question with Answer & Explanation
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Question
A machine learning (ML) engineer at a bank is building a data ingestion solution to provide transaction features to financial ML models. Raw transactional data is available in an Amazon Kinesis data stream. The solution must compute rolling averages of the ingested data from the data stream and must store the results in Amazon SageMaker Feature Store. The solution also must serve the results to the models in near real time. Which solution will meet these requirements?
Options
- ALoad the data into an Amazon S3 bucket by using Amazon Kinesis Data Firehose. Use a
- BWrite the data directly from the data stream into SageMaker Feature Store as an online feature
- CConsume the data stream by using an Amazon Kinesis Data Analytics SQL application that
- DLoad the data into an Amazon S3 bucket by using Amazon Kinesis Data Firehose. Use a
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