Data Science MCQs with answers Page - 11

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. Which of the following is NOT a type of machine learning algorithm commonly used in Data Science?

  • (A) Linear Regression
  • (B) K-Means Clustering
  • (C) Decision Trees
  • (D) Object-Oriented Programming

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Q. Which technology is often used to process and analyze large-scale data sets in Data Science?

  • (A) Hadoop
  • (B) SQL
  • (C) Python
  • (D) HTML

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Q. What does the acronym "EDA" stand for in Data Science?

  • (A) Exploratory Data Analysis
  • (B) Effective Data Algorithms
  • (C) Extracted Data Aggregation
  • (D) Efficient Data Assessment

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Q. Which of the following is NOT a key skill required for a Data Scientist?

  • (A) Data Visualization
  • (B) Storytelling
  • (C) Database Administration
  • (D) Machine Learning

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Q. Which step in the Data Science process involves selecting the appropriate model and algorithm for analysis?

  • (A) Data Cleaning
  • (B) Data Visualization
  • (C) Data Collection
  • (D) Model Building

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Q. In Data Science, what is the term for a dataset that contains both input features and output labels?

  • (A) Test Data
  • (B) Training Data
  • (C) Validation Data
  • (D) Unlabeled Data

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Q. Which of the following process involves structuring datasets to facilitate analysis?

  • (A) Data tidying
  • (B) Data mining
  • (C) Data booting
  • (D) All of the mentioned

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Q. Point out the correct statement.

  • (A) HDF5 is a hierarchical format
  • (B) HDF5 does not support range of different data types
  • (C) HDF5 is used for storing small datasets
  • (D) None of the mentioned

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Q. merge function is used for merging data frames.

  • (A) True
  • (B) quantity
  • (C) ---
  • (D) ---

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Q. Which of the following function is used for quantiles of quantitative values?

  • (A) quantile
  • (B) Variables with character values should usually be made into factor variable
  • (C) quantiles
  • (D) all of the mentioned

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