MLS-C01 exam dumps

MLS-C01 practice question 23 of 389

AWS Certified Machine Learning - Specialty. Expert level, Amazon Web Services. Free question with the correct answer and a full explanation.

MLS-C01 Question 23

Single answer

You are designing a data processing system for an e-commerce platform that processes user events, such as page views, clicks, and purchases. The system must provide real-time recommendations to users based on their recent activity. Which type of data processing job is most suitable for this use case?

  1. A

    Batch processing job

  2. B

    Streaming processing job

  3. C

    ETL job for periodic data transformation

  4. D

    Data archiving job

Show answer and explanation

Correct answer: B

Explanation

Streaming processing jobs are ideal for use cases that involve real-time data processing and decision-making, such as providing personalized recommendations based on live user activity. Unlike batch processing, which processes data in chunks after a delay, streaming processing continuously ingests, processes, and analyzes data as it arrives.

  • A. Incorrect.

    Batch processing jobs are designed for large-scale processing of static datasets at periodic intervals. They are not suitable for real-time requirements like providing immediate recommendations.

  • B. Correct.

    Streaming processing jobs are designed to handle real-time data flows, making them suitable for scenarios requiring immediate processing and response, such as real-time recommendations.

  • C. Incorrect.

    ETL jobs are typically used for transforming and loading data into a storage system, and they operate in batch or scheduled modes. They are not designed for real-time processing.

  • D. Incorrect.

    Data archiving jobs are used for long-term storage of infrequently accessed data and are not related to real-time data processing or recommendations.

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