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Data Science MCQs with answers Page - 6

Dear candidates you will find MCQ questions of Data Science here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Mr. Dubey • 51.17K Points
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Q. In Data Science, what is the purpose of data wrangling?

(A) To create complex models
(B) To transform raw data
(C) To visualize data
(D) To remove outliers

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Mr. Dubey • 51.17K Points
Coach

Q. What is the process of splitting a dataset into a training set and a test set used for machine learning called?

(A) Data Partitioning
(B) Data Sampling
(C) Data Splitting
(D) Data Shuffling

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Mr. Dubey • 51.17K Points
Coach

Q. Which of the following is a common algorithm used for classification in supervised learning?

(A) K-Means Clustering
(B) Decision Tree
(C) Principal Component Analysis (PCA)
(D) Naive Bayes

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Mr. Dubey • 51.17K Points
Coach

Q. What does the acronym "SQL" stand for in the context of Data Science?

(A) Structured Query Language
(B) Statistical Query Language
(C) Simplified Query Language
(D) Secure Query Language

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Mr. Dubey • 51.17K Points
Coach

Q. What is the primary focus of Data Science?

(A) Data Cleaning
(B) Data Visualization
(C) Data Analysis
(D) Data Storage

M

Mr. Dubey • 51.17K Points
Coach

Q. Which of the following is NOT a common data format used in Data Science projects?

(A) JSON
(B) XML
(C) CSV
(D) HTML

M

Mr. Dubey • 51.17K Points
Coach

Q. Which of the following is a technique used to handle missing data in a dataset?

(A) Data Augmentation
(B) Data Imputation
(C) Data Transformation
(D) Data Normalization

M

Mr. Dubey • 51.17K Points
Coach

Q. What is the primary purpose of data visualization in Data Science?

(A) To make data more complicated
(B) To simplify complex data
(C) To increase data complexity
(D) To store data

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