AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 73

Question

An aircraft engine manufacturing company is measuring 200 performance metrics in a time-series. Engineers want to detect critical manufacturing defects in near- real time during testing. All of the data needs to be stored for offline analysis. What approach would be the MOST effective to perform near-real time defect detection?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Use Amazon Kinesis Data Firehose for ingestion and Amazon Kinesis Data Analytics Random Cut Forest (RCF) to perform anomaly detection. Use Kinesis Data Firehose to store data in Amazon S3 for further analysis. Amazon S3 provides durable, scalable object storage that is fully managed. Kinesis Data Firehose delivers streaming data to destinations like S3/Redshift with no servers to manage. Amazon Kinesis ingests and processes real-time streaming data at scale. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 73