Artificial Intelligence (AI) MCQs with answers Page - 7

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 model mimics the structure of the human brain?

  • (A) Linear Regression
  • (B) Decision Tree
  • (C) Neural Network
  • (D) Naive Bayes

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Q. Which AI field deals with converting written or spoken language into machine-understandable form?

  • (A) Computer Vision
  • (B) NLP
  • (C) Reinforcement Learning
  • (D) Robotics

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Q. Which technique is used in AI for detecting spam emails?

  • (A) Regression Analysis
  • (B) Classification
  • (C) Clustering
  • (D) Segmentation

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Q. Which of the following is used to train an AI model on large datasets?

  • (A) Manual learning
  • (B) Machine Learning
  • (C) Hard-coding rules
  • (D) Random programming

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Q. Which AI concept helps machines adapt and improve from experience?

  • (A) Static programming
  • (B) Expert systems
  • (C) Machine Learning
  • (D) Data Warehousing

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Q. Which AI term refers to a subset of machine learning involving neural networks with many layers?

  • (A) Linear Regression
  • (B) Deep Learning
  • (C) Unsupervised Learning
  • (D) Bayesian Networks

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Q. Which of the following types of learning uses both labeled and unlabeled data?

  • (A) Supervised Learning
  • (B) Unsupervised Learning
  • (C) Reinforcement Learning
  • (D) Semi-supervised Learning

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Q. What is the role of the loss function in training an AI model?

  • (A) To increase accuracy
  • (B) To measure the error
  • (C) To decrease training time
  • (D) To boost memory usage

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Q. Which kind of AI is capable of performing any intellectual task that a human can do?

  • (A) Narrow AI
  • (B) General AI
  • (C) Weak AI
  • (D) Specialized AI

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Q. Which learning algorithm adjusts weights by calculating gradients?

  • (A) Naive Bayes
  • (B) Support Vector Machine
  • (C) Gradient Descent
  • (D) K-Means

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