MLS-C01 · Question #375
MLS-C01 Question #375: Real Exam Question with Answer & Explanation
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Question
A company is building a predictive maintenance system using real-time data from devices on remote sites. There is no AWS Direct Connect connection or VPN connection between the sites and the company's VPC. The data needs to be ingested in real time from the devices into Amazon S3. Transformation is needed to convert the raw data into clean .csv data to be fed into the machine learning (ML) model. The transformation needs to happen during the ingestion process. When transformation fails, the records need to be stored in a specific location in Amazon S3 for human review. The raw data before transformation also needs to be stored in Amazon S3. How should an ML specialist architect the solution to meet these requirements with the LEAST effort?
Options
- AUse Amazon Data Firehose with Amazon S3 as the destination. Configure Firehose to invoke an
- BUse Amazon Managed Streaming for Apache Kafka. Set up workers in Amazon Elastic Container
- CUse Amazon Data Firehose with Amazon S3 as the destination. Configure Firehose to invoke an
- DUse Amazon Kinesis Data Streams in front of Amazon Data Firehose. Use Kinesis Data Streams
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