MLS-C01 · Question #210
MLS-C01 Question #210: Real Exam Question with Answer & Explanation
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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?
Options
- AIngest the data by using an HTTP API call to a web server that is hosted on Amazon EC2.
- BIngest the data over Message Queuing Telemetry Transport (MQTT) to AWS IoT Core.
- CIngest the data over Message Queuing Telemetry Transport (MQTT) to AWS IoT Core.
- DIngest the data over Message Queuing Telemetry Transport (MQTT) to Amazon Kinesis
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