MS-DS Master of Data science FREE Master of Data Science Questions and Answers 2

Question 1

Which regularization technique adds the absolute value of coefficients as a penalty term to the loss function?

Accepted Answer

L1 (Lasso) regularization

Answer

L2 (Ridge) regularization

Answer

Elastic Net regularization

Answer

Dropout regularization

Question 2

In a Master of Data Science program, what does the term 'curse of dimensionality' refer to?

Accepted Answer

Data becomes sparse as the number of features increases

Answer

Models train faster with more variables

Answer

Clustering algorithms improve with higher dimensions

Answer

Feature selection becomes unnecessary in high-dimensional spaces

Question 3

Which evaluation metric is most appropriate for a highly imbalanced binary classification dataset?

Accepted Answer

Area Under the Precision-Recall Curve (AUPRC)

Answer

Accuracy

Answer

Mean Squared Error

Answer

R-squared

Question 4

What is the primary purpose of cross-validation in a data science workflow?

Accepted Answer

To estimate how well a model generalizes to unseen data

Answer

To increase the size of the training dataset

Answer

To select the best programming language for analysis

Answer

To reduce the number of features in the dataset

Question 5

Which SQL operation is used to combine rows from two tables based on a related column?

Accepted Answer

JOIN

Answer

UNION

Answer

GROUP BY

Answer

HAVING

Question 6

What does a p-value less than 0.05 conventionally indicate in hypothesis testing?

Accepted Answer

The result is statistically significant and the null hypothesis is rejected

Answer

The null hypothesis is accepted

Answer

The sample size is too small

Answer

The effect size is large