InfoEdge Data Scientist 2025

Company: InfoEdge Data Scientist mcq

Difficulty: medium

Problem Statement

Question 1

A non-zero vector that can be changed at most by its scalar factor after the application of linear transformations is called:

Question 2

X is the sum of the squares of k independent standard normal random variables. What's the distribution of X?

Question 3

In rolling a dice 300 times we get 54 ones, 46 twos, 54 threes, 46 fours, 50 fives and 36 sixes. What is the test statistic value for the goodness of fit test?

Question 4

What is the correct formula for detecting outliers using the Inter Quartile Range (IQR)?

Question 5

What is IQR?

Question 6

In a normal distribution, the percentage of values that lie within one, two, three standard deviations of the mean respectively are:

Question 7

Which of the following is NOT an AXIOM of probability?

Question 8

Which of the following is NOT a property of the Poisson process?

Question 9

What does Z score signify?

Question 10

A fair dice is thrown twice. What is the probability that '5' will occur at least once?

Question 11

Latent Dirichlet Allocation is a generative model.

Question 12

We are implementing decision tree, if there are very large number of classes in a categorical variable, which measure is more preferable?

Question 13

Which of the following is/are assumption(s) of the Naive Bayes Algorithm?

Question 14

If you suspect your model to be overfitting, which of the following is NOT a preferred way to try to reduce overfitting?

Question 15

A deep decision tree with pure leaf nodes is not likely perform well on unseen data because of:

Question 16

A decision tree is likely to be more prone to:

Question 17

Linear regression can be optimized using:

Question 18

You are given 20 data points in a cartesian coordinate system. PCA gives nearly identical eigen values. What could lead to this?

Question 19

Which of the following is NOT TRUE related to binary classification?

Question 20

Instead of trying to achieve absolute zero error, we set a metric called Bayes error. Which of the following options could be a good reason for using Bayes error?

Question 21

In which neural net architecture does weight sharing occur?

Question 22

Which of the following Neural network applies identity mapping (shortcut connections)?

Question 23

While using Bidirectional RNN for text language translation, the input may be best passed as:

Question 24

State whether the statement: 'Neural networks can approximate any function.' is True or False.

Question 25

Which of the following architectures may be more suitable for learning time-series data compared to the rest?

Question 26

Which of the following is NOT used for preventing overfitting in neural networks?

Question 27

Which of the following is FALSE about Radial Basis Function Neural Network?

Question 28

Which one of the following is not a standard pooling technique in CNNs?

Question 29

We are most likely to find a global minima of an objective function if the objective function is:

Question 30

Pandas dataframes of Python, Index values must be:

Question 31

Which of the following SQL command shall display all the unique values in a column called 'data1' in a SQL table MY_TABLE?

Question 32

Which is the correct way to get the number of unique values in a column 'C' in a Pandas dataframe df?

Question 33

Which of the following is FALSE about 'dictionary' data type in Python?

Question 34

Data type 'Lists' in Python are:

Question 35

In Python command prompt, if you type 3**2**3, you may get which of the below answers?

Question 36

Which of the following methods would compute the frequency of elements in a given column of a Pandas dataframe?

Question 37

The Numpy slicing operator [:-4] would do the following:

Question 38

Which of the below command may be used to compute Z (intersection) from lists X and Y?

Question 39

10 men and 12 women images are there. A model classifies 14 women where 8 are actual women and 6 are men. Precision and recall?