AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 32

Question

A financial company receives a high volume of real-time market data streams from an external provider. The streams consist of thousands of JSON records every second. The company needs to implement a scalable solution on AWS to identify anomalous data points. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Ingest real-time data into Amazon Kinesis data streams. Use the built-in RANDOM_CUT_FOREST function in Amazon Managed Service for Apache Flink to process the data streams and to detect data anomalies. Kinesis Data Streams ingests and processes high-volume real-time streaming data. Amazon Kinesis ingests and processes real-time streaming data at scale.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 32