AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 184

Question

An energy company has wind turbines, weather stations, and solar panels that generate telemetry data. The company wants to perform predictive maintenance on these devices. The devices are in various locations and have unstable internet connectivity. A team of data scientists is using the telemetry data to perform machine learning (ML) to conduct anomaly detection and predict maintenance before the devices start to deteriorate. The team needs a scalable, secure, high-velocity data ingestion mechanism. The team has decided to use Amazon S3 as the data storage location. Which approach meets these requirements?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Ingest the data over Message Queuing Telemetry Transport (MQTT) to AWS IoT Core. Set up a rule in AWS IoT Core to direct all MQTT data to an Amazon Kinesis Data Firehose delivery stream that is configured to write to... 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.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 184