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May 2026 term · Algorithms for Data Science · BSDA5003

Algorithms for Data Science End Term: 13 September 2026 (May 2026 term)

The IIT Madras BS Algorithms for Data Science (Algorithms for Data Science) End Term paper sat on 13 Sept 2026, in the May 2026 term: 18 questions for 40 marks in 180 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.

Questions
18
Marks
40
Duration
180 min
MCQ
7
MSQ
4
Numerical
7

Updated

Official paper: Algorithms For Data Science 13 Sep 26 · No negative marking.

Question 1

+0 marksOne correct option
  1. A

    (A figure from the original paper is missing from the source site.)

  2. B

    (A figure from the original paper is missing from the source site.)

  3. C

    (A figure from the original paper is missing from the source site.)

  4. D
Show answer

Correct answer

  • A

    (A figure from the original paper is missing from the source site.)

Question 2

+2 marksOne correct option
  1. A
  2. B
  3. C
Show answer

Correct answer

  • B

Question 3

+2 marksOne correct option
  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • B

Question 4

+2 marksOne correct option
  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • C

Question 5

+2 marksOne correct option

Is the given statement true or false?
“Given a desired utility and privacy, the number of users who need to be surveyed is quadratically smaller in the case of the randomized response mechanism than for the Laplace mechanism.”

  1. A

    True

  2. B

    False

Show answer

Correct answer

  • B

    False

Question 6

+2 marksOne correct option
  1. A
  2. B
  3. C
  4. D

    (A figure from the original paper is missing from the source site.)

Show answer

Correct answer

  • B

Question 7

+2 marksOne or more correct options

Select all that apply.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answers

  • A
  • C

Question 8

+2 marksOne or more correct options

Select all that apply.

  1. A

    The set of all decision trees classifiers, where each tree can be trained to arbitrary depth.

  2. B
  3. C

    The set of all linear classifiers.

  4. D

    The set of all classifiers whose decision boundary is a circle centered at the origin.

Show answer

Correct answers

  • A

    The set of all decision trees classifiers, where each tree can be trained to arbitrary depth.

  • B

Question 9

+3 marksOne or more correct options

Which of the following is/are true?

Select all that apply.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answers

  • A
  • C

Question 10

+1 markOne or more correct options

Which of the following pieces of information are indispensable if we need to apply the Markov inequality? Select all that apply.

Select all that apply.

  1. A

    The non-negativity of the random variable.

  2. B

    Availability of the variance of the random variable.

  3. C

    Availability of the third moment of the random variable.

  4. D

    Availability of the expected value of the random variable.

Show answer

Correct answers

  • A

    The non-negativity of the random variable.

  • D

    Availability of the expected value of the random variable.

Question 11

+3 marksNumerical answer
Show answer

Correct answer: 2

Question 12

+3 marksNumerical answer
Show answer

Correct answer: 4

Question 13

+3 marksNumerical answer
Show answer

Correct answer: 3

Question 14

+2 marksNumerical answer
Show answer

Correct answer: 0.1

Question 15

+3 marksOne correct option
  1. A

    (A figure from the original paper is missing from the source site.)

  2. B

    (A figure from the original paper is missing from the source site.)

  3. C
  4. D
Show answer

Correct answer

  • B

    (A figure from the original paper is missing from the source site.)

Question 16

+3 marksNumerical answer
Show answer

Correct answer: 0.26 (accepted within ±0.001)

Question 17

+3 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: 0.2 (accepted within ±0.01)

Question 18

+2 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: -2