MLS-C01 · Question #225
MLS-C01 Question #225: Real Exam Question with Answer & Explanation
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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?
Options
- AIngest event data by using a GraphQLAPI in AWS AppSync. Store the data in an Amazon
- BIngest event data by using Amazon Kinesis Data Streams. Store the data in Amazon S3 by using
- CIngest event data by using Amazon Kinesis Data Streams. Use an Amazon Kinesis Data
- DIngest event data by using Amazon Managed Streaming for Apache Kafka (Amazon MSK). Use
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