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Introduction to Big Data · End Term · 13 Apr 2025 · January 2025 term · Set 1-5

Question 18: What are some capabilities common to both “streaming pro…

Question 18

+4 marksOne or more correct options

What are some capabilities common to both “streaming processing” & “batch processing” when using Spark for big data?

Select all that apply.

  1. A

    Batch operates on data that typically has a static schema but can adjust tochanges in schema, and the same syntax will also help in streaming mode

  2. B

    Batch operates on a set of data elements taken together while streaming canalso operate on a set of data elements as determined by the window

  3. C

    Batch processing can assume data as fully specified and complete whilestreaming cannot make that assumption

  4. D

    Batch processing is typically high latency while streaming processing isnecessary for real-time latencies

  5. E

    Batch can operate on massively large data sets, while streaming can alsooperate on massively large data but expressed as streams

Show answer

Correct answers

  • A

    Batch operates on data that typically has a static schema but can adjust tochanges in schema, and the same syntax will also help in streaming mode

  • B

    Batch operates on a set of data elements taken together while streaming canalso operate on a set of data elements as determined by the window

  • E

    Batch can operate on massively large data sets, while streaming can alsooperate on massively large data but expressed as streams

Question 18 of 19 in the IIT Madras BS Introduction to Big Data (Intro to Big Data) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M IMPROVEMENT FN EXAM QIM2 13 Apr). It carries 4 marks.

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