Artificial Intelligence (AI) MCQs with answers Page - 6

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 of the following is a benefit of using AI in healthcare?

  • (A) Increased paperwork
  • (B) Delayed diagnosis
  • (C) Accurate diagnosis and treatment
  • (D) Higher manual effort

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Q. Which AI term refers to the ability of an algorithm to perform well on unseen data?

  • (A) Overfitting
  • (B) Underfitting
  • (C) Generalization
  • (D) Regularization

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Q. Which part of an AI system decides what action to take based on input?

  • (A) Sensor
  • (B) Actuator
  • (C) Environment
  • (D) Agent function

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Q. Which learning method uses a system of rewards and punishments?

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

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Q. Which term describes an AI system’s awareness of its own existence?

  • (A) Reactive AI
  • (B) General AI
  • (C) Self-aware AI
  • (D) Cognitive AI

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Q. Which of the following techniques is commonly used for dimensionality reduction?

  • (A) Gradient Descent
  • (B) Principal Component Analysis (PCA)
  • (C) Random Forest
  • (D) Backpropagation

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Q. Which of the following is true about AI in e-commerce?

  • (A) Increases delivery time
  • (B) Does not personalize shopping
  • (C) Enhances customer experience
  • (D) Increases manual inventory work

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Q. What is the main advantage of using GPUs in AI computations?

  • (A) Lower electricity usage
  • (B) Faster floating-point computations
  • (C) Higher disk space
  • (D) Better keyboard input handling

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Q. Which of the following is NOT a challenge in AI development?

  • (A) Lack of data
  • (B) High computation power requirement
  • (C) Overabundance of training algorithms
  • (D) Ethical concerns

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Q. What does the 'curse of dimensionality' refer to in AI?

  • (A) Too many output labels
  • (B) Training on low memory devices
  • (C) Increasing complexity due to many input features
  • (D) Lack of training data

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