Artificial Intelligence (AI) MCQs with answers Page - 22

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 model is best suited for sequential data?

  • (A) CNN
  • (B) RNN
  • (C) SVM
  • (D) KNN

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Q. What is gradient descent used for in AI?

  • (A) Data cleaning
  • (B) Loss minimization
  • (C) Feature selection
  • (D) Overfitting detection

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Q. Which term describes the situation where AI acts without being explicitly programmed?

  • (A) Machine Learning
  • (B) Hard-coding
  • (C) Data Mining
  • (D) Scripted Logic

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Q. What is a 'confusion matrix' used for?

  • (A) Visualizing neural networks
  • (B) Evaluating classification models
  • (C) Optimizing training speed
  • (D) Reducing data noise

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Q. Which AI concept is concerned with decision-making under uncertainty?

  • (A) Fuzzy Logic
  • (B) Neural Networks
  • (C) Supervised Learning
  • (D) Clustering

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Q. Which AI term refers to the ability of a machine to apply knowledge learned in one domain to another?

  • (A) Generalization
  • (B) Overfitting
  • (C) Transfer Learning
  • (D) Feature Selection

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Q. Which of the following is NOT a benefit of AI in healthcare?

  • (A) Early disease detection
  • (B) Personalized treatment
  • (C) Data entry automation
  • (D) Complete replacement of doctors

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Q. Which method can be used to extract meaningful patterns from unlabeled text data?

  • (A) Supervised Learning
  • (B) Unsupervised Learning
  • (C) Transfer Learning
  • (D) Reinforcement Learning

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Q. Which algorithm is typically used for handwriting recognition?

  • (A) CNN
  • (B) Naive Bayes
  • (C) SVM
  • (D) Linear Regression

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Q. Which of the following is used to describe the process of training a machine to improve from rewards and punishments?

  • (A) Backpropagation
  • (B) Reinforcement Learning
  • (C) Supervised Learning
  • (D) Unsupervised Learning

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