GATE 2024 DA question paper PDF and answer key

The official GATE 2024 Data Science & Artificial Intelligence paper, organised by IISc Bengaluru: 65 questions for 100 marks in 3 hours. Download the official question paper and answer key as PDFs. Below is how the marks were split by topic, the complete official answer key and 5 questions solved step by step.

Take this paper as a timed test Try the free demo

Question paper (PDF)Official answer key (PDF)

Source: the official paper and answer key published by IISc Bengaluru for GATE 2024 (official GATE site). Spotted a mistake? Email team@lemyte.com.

General Aptitude: 10 · 15 marks
Data Science & Artificial Intelligence: 55 · 85 marks
MCQ / MSQ / NAT: 37 / 12 / 16
Marks to all: None

Where the marks were

GATE 2024 DA topic-wise marks

Data Science & Artificial Intelligence questions only; General Aptitude adds 15 marks on top. The top three topics carried 51 of the 85 subject marks.

Topic	Questions	Marks
Programming, Data Structures and Algorithms	13	20
Probability and Statistics	10	16
Machine Learning	10	15
Linear Algebra	6	10
Artificial Intelligence	7	10
Calculus and Optimization	5	8
Database Management and Warehousing	4	6

Free solved questions

5 solved questions from GATE 2024 DA

Question text and figures as in the official paper, the answer from the official key, and a worked solution. The other 60 solutions are in your report after you take the paper.

Q3 · General Aptitude · MCQ · 1 mark

In an election, the share of valid votes received by the four candidates A, B, C, and D is represented by the pie chart shown. The total number of votes cast in the election were 1,15,000, out of which 5,000 were invalid.

Based on the data provided, the total number of valid votes received by the candidates B and C is

Pie chart for Q5

(A)
45,000
(B)
49,500
(C)
51,750
(D)
54,000

Answer (official key): B

Solution

Valid votes:

115000 - 5000 = 110000.

Candidates B and C together received

25\% + 20\% = 45\%

of the valid votes.

So their total valid votes are

0.45 \times 110000 = 49500.

Therefore, the correct answer is Option B.

Q4 · General Aptitude · MCQ · 1 mark

If ‘→’ denotes increasing order of intensity, then the meaning of the words

[sick → infirm → moribund]

is analogous to

[silly → _______ → daft].

Which one of the given options is appropriate to fill the blank?

(A)
frown
(B)
fawn
(C)
vein
(D)
vain

Answer (official key): D

Solution

The sequence is based on increasing intensity of meaning. “Silly”, “vain”, and “daft” align in that progression, while the other options do not fit semantically.

Therefore, the correct answer is Option D.

Q28 · Programming, Data Structures and Algorithms · MSQ · 1 mark

Consider the following tree traversals on a full binary tree:

(i) Preorder
(ii) Inorder
(iii) Postorder

Which of the following traversal options is/are sufficient to uniquely reconstruct the full binary tree?

(A)
(i) and (ii)
(B)
(ii) and (iii)
(C)
(i) and (iii)
(D)
(ii) only

Answer (official key): A, B, C

Solution

For a full binary tree, any two among preorder, inorder, and postorder are sufficient to reconstruct the tree uniquely. Inorder alone is not sufficient.

Therefore, the correct answers are A, B and C.

Q29 · Programming, Data Structures and Algorithms · Numerical · 1 mark

Consider sorting the following array of integers in ascending order using an in-place Quicksort algorithm that uses the last element as the pivot.

60 \;\; 70 \;\; 80 \;\; 90 \;\; 100

The minimum number of swaps performed during this Quicksort is ______.

Answer (official key): 0

Solution

The array is already sorted in ascending order, and the pivot chosen each time is the last element of the current subarray. With the minimum-swap in-place partition behavior, no actual swaps are required because every element is already on the correct side of the pivot.

Therefore, the answer is 0.

Q50 · Machine Learning · MCQ · 2 marks

Consider the two neural networks (NNs) shown in Figures 1 and 2, with ReLU activation

\mathrm{ReLU}(z)=\max\{0,z\}, \quad z \in \mathbb{R}.

The biases at every neuron are set to 0. For what values of $p, q, r$ in Figure 2 are the two NNs equivalent, when $x_1, x_2, x_3$ are positive?

Figure 1

Figure for GATE 2024 DA question 50 (Machine Learning)

Figure 2

Figure for GATE 2024 DA question 50 (Machine Learning)

(A)
$p = 36, q = 24, r = 24$
(B)
$p = 24, q = 24, r = 36$
(C)
$p = 18, q = 36, r = 24$
(D)
$p = 36, q = 36, r = 36$

Answer (official key): A

Solution

This is a figure-dependent neural-network equivalence question. The official accepted answer is Option A.

A more detailed layer-by-layer reduction can be added later if you want the final polished explanation.

The other 60 questions are solved in your report when you take GATE 2024 DA as a 3-hour test.

Take GATE 2024 DA as a test

Official answer key

GATE 2024 DA answer key

All 65 answers from the official key. Numerical answers are ranges; “or” means the key accepts either answer.

Download the official GATE 2024 DA answer key (PDF)

Q	Topic	Type	Marks	Answer
1	Spatial Aptitude	MCQ	1	A
2	Quantitative Aptitude	MCQ	1	B
3	Quantitative Aptitude	MCQ	1	B
4	Verbal Aptitude	MCQ	1	D
5	Quantitative Aptitude	MCQ	1	B
6	Spatial Aptitude	MCQ	2	A
7	Quantitative Aptitude	MCQ	2	A
8	Verbal Aptitude	MCQ	2	D
9	Spatial Aptitude	MCQ	2	A
10	Quantitative Aptitude	MCQ	2	B
11	Machine Learning	MCQ	1	D
12	Linear Algebra	MCQ	1	B
13	Probability and Statistics	MCQ	1	A
14	Programming, Data Structures and Algorithms	MCQ	1	A
15	Calculus and Optimization	MCQ	1	A
16	Machine Learning	MCQ	1	D
17	Machine Learning	MCQ	1	B
18	Programming, Data Structures and Algorithms	MCQ	1	A
19	Machine Learning	MCQ	1	C
20	Probability and Statistics	MCQ	1	A
21	Artificial Intelligence	MCQ	1	C
22	Database Management and Warehousing	MCQ	1	C
23	Probability and Statistics	MCQ	1	B
24	Programming, Data Structures and Algorithms	MCQ	1	B
25	Artificial Intelligence	MCQ	1	D
26	Machine Learning	MCQ	1	A
27	Artificial Intelligence	MCQ	1	C
28	Programming, Data Structures and Algorithms	MSQ	1	A, B, C
29	Programming, Data Structures and Algorithms	Numerical	1	0
30	Artificial Intelligence	MSQ	1	B, C, D
31	Calculus and Optimization	Numerical	1	0.24
32	Probability and Statistics	Numerical	1	42
33	Linear Algebra	Numerical	1	0
34	Database Management and Warehousing	Numerical	1	3
35	Programming, Data Structures and Algorithms	Numerical	1	17
36	Calculus and Optimization	MCQ	2	A
37	Probability and Statistics	MCQ	2	C
38	Programming, Data Structures and Algorithms	MCQ	2	A
39	Programming, Data Structures and Algorithms	MCQ	2	D
40	Programming, Data Structures and Algorithms	MCQ	2	C
41	Linear Algebra	MSQ	2	A, C
42	Artificial Intelligence	MCQ	2	C
43	Programming, Data Structures and Algorithms	MCQ	2	B
44	Programming, Data Structures and Algorithms	MCQ	2	C
45	Linear Algebra	MSQ	2	B, D
46	Linear Algebra	MSQ	2	B, C, D
47	Calculus and Optimization	MSQ	2	A, B
48	Database Management and Warehousing	MSQ	2	A, B, D
49	Machine Learning	MCQ	2	A
50	Machine Learning	MCQ	2	A
51	Programming, Data Structures and Algorithms	MSQ	2	A, B, C
52	Machine Learning	Numerical	2	0.12 to 0.13
53	Calculus and Optimization	Numerical	2	0.5
54	Artificial Intelligence	MSQ	2	A, C
55	Artificial Intelligence	Numerical	2	0.125
56	Machine Learning	Numerical	2	5
57	Programming, Data Structures and Algorithms	MSQ	2	B, D
58	Probability and Statistics	Numerical	2	0.062 to 0.063
59	Probability and Statistics	Numerical	2	0.2
60	Probability and Statistics	Numerical	2	0.25
61	Machine Learning	MSQ	2	A, D
62	Database Management and Warehousing	MSQ	2	A, B
63	Linear Algebra	Numerical	2	55
64	Probability and Statistics	Numerical	2	0.125
65	Probability and Statistics	Numerical	2	1

Questions about GATE 2024 DA

How many questions are in the GATE 2024 DA paper?

65 questions for 100 marks: 10 General Aptitude questions worth 15 marks and 55 Data Science & Artificial Intelligence questions worth 85 marks. By type, there were 37 MCQs, 12 MSQs, 16 numerical answer (NAT) questions. The paper lasted 3 hours.

Is there negative marking in GATE 2024 DA?

Yes, for MCQs only. A wrong MCQ answer costs one-third of its marks (−⅓ for a 1-mark question, −⅔ for a 2-mark question). MSQ and numerical (NAT) questions have no negative marking, and an MSQ earns marks only when every correct option is chosen.

Which topics carried the most marks in GATE 2024 DA?

Outside General Aptitude, the biggest topics were Programming, Data Structures and Algorithms (20 marks), Probability and Statistics (16 marks), Machine Learning (15 marks). The full topic-wise split is in the table on this page.

Were any GATE 2024 DA questions awarded marks to all?

No. Every question was graded with the answer in the official key.

Where does this GATE 2024 DA answer key come from?

From the official answer key published by IISc Bengaluru, which organised GATE 2024. Range answers for numerical questions and questions with more than one accepted answer are kept exactly as the key gives them.

Other GATE DA papers

GATE DA topic-wise weightage and 2027 syllabus

Other GATE 2024 papers

GATE 2027 dates and syllabus changes

GATE 2024 DA question paper PDF and answer key

GATE 2024 DA topic-wise marks

5 solved questions from GATE 2024 DA

GATE 2024 DA answer key

Questions about GATE 2024 DA

How many questions are in the GATE 2024 DA paper?

Is there negative marking in GATE 2024 DA?

Which topics carried the most marks in GATE 2024 DA?

Were any GATE 2024 DA questions awarded marks to all?

Where does this GATE 2024 DA answer key come from?

More GATE papers