AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 197

Question

A company has a podcast platform that has thousands of users. The company has implemented an anomaly detection algorithm to detect low podcast engagement based on a 10-minute running window of user events such as listening, pausing, and exiting the podcast. A machine learning (ML) specialist is designing the data ingestion of these events with the knowledge that the event payload needs some small transformations before inference. How should the ML specialist design the data ingestion to meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Ingest event data by using Amazon Kinesis Data Streams. Use an Amazon Kinesis Data Analytics for Apache Flink application to transform the most recent 10 minutes of data before inference. 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 - Specialty MLS-C01 — Question 197