AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 125

Question

A company is using Amazon EMR. The company has a large dataset in Amazon S3 that needs to be ingested into Amazon SageMaker Feature Store. The dataset contains historical data and real-time streaming data. The company must ensure that the Feature Store online store is updated with the most recent data as soon as the data becomes available. The company also must maintain a complete Feature Store offline store for batch processing. Which solution will meet these requirements?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use the Feature Store Spark connector to ingest the data as Spark DataFrames with the online store and offline store enabled. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 125