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MLA-C01 · Question #100

A company is building a real-time data processing pipeline for an ecommerce application. The application generates a high volume of clickstream data that must be ingested, processed, and visualized in

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Data Preparation for Machine Learning

Question

A company is building a real-time data processing pipeline for an ecommerce application. The application generates a high volume of clickstream data that must be ingested, processed, and visualized in near real time. The company needs a solution that supports SQL for data processing and Jupyter notebooks for interactive analysis. Which solution will meet these requirements?

Options

  • AUse Amazon Data Firehose to ingest the data. Create an AWS Lambda function to process the
  • BUse Amazon Kinesis Data Streams to ingest the data. Use Amazon Data Firehose to transform
  • CUse Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data. Use AWS
  • DUse Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data. Use

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Topics

#Real-time streaming#Data ingestion#Data processing (SQL)#Interactive analysis (Jupyter)
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