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AKTU · B.Tech · 5th semester

AKTU Stream Processing and Analytics (KDS053) Question Paper 2023-24

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseB.Tech, Semester V
SubjectStream Processing and Analytics (KDS053)
ExamTheory Examination 2023-24 (odd semester)
Time · Marks3 hours · 100 marks
SourceAKTU question paper, from the ABESIT question paper bank
View original PDF Other years

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

  1. What is scaling?
  2. What is meant by Windows Aggregation?
  3. What is meant by Batch Processing?
  4. What is meant by Data Analysis?
  5. Explain the Distributed System.
  6. What is meant by Data Server?
  7. Define IoT.
  8. What is meant by Structured Streaming?
  9. What is meant by Time-based Stream Processing?
  10. Discuss Spark Streaming Context.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

  1. Differentiate between Stateless and Stateful Processing with suitable examples.
  2. Write a simple Spark program that prints a sample of the tweets it receives from Twitter every second. What is a Socket?
  3. Write a script in Spark to read all text files into Spark RDD. Define Spark Components.
  4. Discuss Structured Streaming Sinks. Define Trigger and Latency.
  5. Discuss Structured Streaming Vs Spark Streaming.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Write short notes on: i. Performance tuning. ii. Time-based streaming process.
  2. What are the components of Spark Streaming? What is DStreams?

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Discuss Sources and Sinks Stream Processing Model.
  2. What is Apache Spark? What is Stream Processing?

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Discuss Batch Processing Component in a Streaming Application.
  2. Write short notes on: i. Latency ii. Throughput

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Discuss Spark’s Resilience Model. What is the use of Spark Context. Parallelize() method.
  2. Write short notes on: i. Cluster Manager. ii. Fault Tolerance in Distributed System.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Write short notes on: i. Features of Structured Streaming. ii. Stream Execution.
  2. How to acquire streaming data from sources? What is a Streaming Dataset?

Other years

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