Artificial Intelligence (AI) MCQs with answers Page - 8

Here, you will find a collection of MCQ questions on Artificial Intelligence (AI). Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. Which AI term describes the process of selecting the most relevant features from data?

  • (A) Feature Scaling
  • (B) Feature Extraction
  • (C) Feature Selection
  • (D) Normalization

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Q. Which technique is used to solve problems where the outcome depends on a sequence of decisions?

  • (A) Classification
  • (B) Reinforcement Learning
  • (C) Regression
  • (D) Clustering

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Q. Which method in AI can be used for grouping data into clusters?

  • (A) Linear Regression
  • (B) Decision Trees
  • (C) K-Means
  • (D) Logistic Regression

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Q. Which of these is a common distance metric used in clustering algorithms?

  • (A) Euclidean Distance
  • (B) Gradient Distance
  • (C) Regression Distance
  • (D) Hyperplane Distance

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Q. What is the purpose of a confusion matrix in AI?

  • (A) To detect missing values
  • (B) To test network speed
  • (C) To evaluate classification models
  • (D) To store data temporarily

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Q. Which type of AI model learns from past experiences and improves over time?

  • (A) Rule-based System
  • (B) Expert System
  • (C) Machine Learning Model
  • (D) Hard-coded Program

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Q. Which of the following is NOT a type of neural network?

  • (A) Convolutional Neural Network
  • (B) Recurrent Neural Network
  • (C) Support Vector Neural Network
  • (D) Feedforward Neural Network

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Q. Which technique can be used to reduce overfitting?

  • (A) Increasing model complexity
  • (B) Removing regularization
  • (C) Using more training data
  • (D) Reducing training time

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Q. Which neural network layer is responsible for feature extraction in CNNs?

  • (A) Dense Layer
  • (B) Output Layer
  • (C) Convolutional Layer
  • (D) Recurrent Layer

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Q. Which algorithm is best suited for text classification?

  • (A) K-Means
  • (B) Naive Bayes
  • (C) Apriori
  • (D) Linear Regression

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