Quiz Space

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

Question 14: Let us say we are using structured streaming for continu…

Question 14

+2 marksOne correct option

Let us say we are using structured streaming for continuously reading data from Kafka and storing the results back into a Kafka topic using window function aggregates. Due to various reasons, the job did not run for 1 month. Now, we need to again continue the runs without compromising on the correctness of the results. What can you do that will take the least effort?

  1. A

    Code up a new batch processing job and process the 1 month of missed dataas a standalone job. Then, reactivate the structured streaming job once the latest date is caught up.

  2. B

    Code up a new batch processing job and process the 1 month of missed dataas a standalone job. Then, reactivate the structured streaming job once the latest date is caught up. But copy the code over from the current structured streaming job where the read and write commands will remain the same, but the remaining code will need to be modified, as operations on streaming dataframes are not supported on static dataframes.

  3. C

    Launch the structured streaming job using starting offset as that lastsuccessfully processed before the job went on hiatus, and launch in a streaming mode with a very high time frequency of repetition. This simulates a batch execution of the same logic so as to catch up for 1 month of data processing. Once done, relaunch the structured streaming using the earlier-used configuration parameters.

  4. D

    Code up a new batch processing job and process the 1 month of missed dataas a standalone job. Then, reactivate the structured streaming job once the latest date is caught up.But copy the code over from the current structured streaming job where the read and write commands need to be modified to specify that it’s a batch operation. Further, the specific logic of window functions will also need to be modified since there are no time windows anymore in batch processing.

  5. E

    Code up a new batch processing job and process the 1 month of missed dataas a standalone job. Then, reactivate the structured streaming job once the latest date is caught up. But copy the code over from the current structured streaming job where only the read and write commands need to be modified to specify that it's a batch operation.

Show answer

Correct answer

  • C

    Launch the structured streaming job using starting offset as that lastsuccessfully processed before the job went on hiatus, and launch in a streaming mode with a very high time frequency of repetition. This simulates a batch execution of the same logic so as to catch up for 1 month of data processing. Once done, relaunch the structured streaming using the earlier-used configuration parameters.

Question 14 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 2 marks.

This question was also asked in

More questions from this paper

  1. Q1At the onset of every festive season, there is a surge in quick commerce orders (i.e. orders delivered within 15 minute…
  2. Q2You are given a Spark program that runs on a Google Dataproc cluster on a daily schedule starting execution at 7AM runn…
  3. Q3You are asked to build a recommendation engine for an offline store at the checkout counter, using a combination of clo…
  4. Q4Consider a file “data.bin” which is formatted as follows: every data record has 10 key-value pairs of the format “key,v…
  5. Q5You join the data engineering team at a company that has good big data expertise already. Your first assignment is to c…
  6. Q6What happens when a Spark Structured Streaming pipeline operating with Kafka as source and console output as target is …
  7. Q7A big data streaming application that uses Kafka as source is observed to be really lagging behind currently live data.…
  8. Q8A company with headquarters (HQ) in the Middle East operates on a Sunday-Thursday weekday schedule with Friday \& Satur…
  9. Q9You are appointed as a Data Engineer in a company that has a legacy reporting application written in Java which suffers…
  10. Q10Fielder on the midwicket boundary is wearing a smart watch. Unlike other smart watches, this one is unique in that it h…
  11. Q11Suppose there’s a new transformer model from Facebook that is orders of magnitude smaller than mobilenet_v2 and has a b…
  12. Q12You are given a Spark Streaming pipeline that invokes a pre-trained DL model for every image it receives as input and p…
  13. Q13Consider a Structured Streaming application running on Google Dataproc firing up every 10 seconds, consuming any number…
  14. Q15Observe the below image showing a possible implementation of Kafka or Google Pub/Sub and select the options that are tr…
  15. Q16You are given the task of improving the performance of a Spark SQL program that is doing a simple count after a series …
  16. Q17Which of the following are best practices associated with Streaming applications?
  17. Q18What are some capabilities common to both “streaming processing” \& “batch processing” when using Spark for big data?
  18. Q19Which of the following is true?