Data Science MCQs with answers Page - 19

Here, you will find a collection of MCQ questions on Data Science. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. What is the process of transforming categorical data into numerical values called?

  • (A) Data Encoding
  • (B) Data Imputation
  • (C) Data Transformation
  • (D) Data Standardization

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Q. Which of the following is NOT a common step in data preprocessing?

  • (A) Data Cleaning
  • (B) Data Visualization
  • (C) Data Transformation
  • (D) Data Integration

A

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Q. In data preprocessing, what is the term for the identification and removal of duplicate or redundant data?

  • (A) Data Deduplication
  • (B) Data Aggregation
  • (C) Data Normalization
  • (D) Data Imputation

A

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Q. Which of the following is a common technique for handling imbalanced data in classification problems?

  • (A) Data Augmentation
  • (B) Data Scaling
  • (C) Data Encoding
  • (D) Data Imputation

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Q. What is the process of converting text data into a numerical format so that it can be used in machine learning algorithms called?

  • (A) Data Encoding
  • (B) Data Tokenization
  • (C) Data Parsing
  • (D) Data Transformation

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Q. Which data collection method involves selecting a sample from a larger population and collecting data from the sample only?

  • (A) Experiments
  • (B) Observational Studies
  • (C) Surveys
  • (D) Sampling

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Q. In data preprocessing, what is the purpose of data scaling or normalization?

  • (A) To increase data complexity
  • (B) To standardize data
  • (C) To remove outliers
  • (D) To create new features

A

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Q. What type of data collection method involves manipulating one or more variables to observe their effects on other variables?

  • (A) Observations
  • (B) Surveys
  • (C) Experiments
  • (D) Interviews

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Q. Which of the following is a common technique for handling outliers in a dataset?

  • (A) Data Imputation
  • (B) Data Transformation
  • (C) Data Visualization
  • (D) Data Scaling

A

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Q. What is the process of gathering data from various sources and storing it for analysis known as?

  • (A) Data Wrangling
  • (B) Data Collection
  • (C) Data Visualization
  • (D) Data Aggregation

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