Artificial Intelligence (AI) MCQs with answers Page - 25

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. What does LSTM stand for?

  • (A) Long Short-Term Memory
  • (B) Large Scale Training Model
  • (C) Local Statistical Trend Model
  • (D) Least Squares Tree Model

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Q. What is the main benefit of using pre-trained models?

  • (A) They are more accurate than training from scratch
  • (B) They save time and resources
  • (C) They don't require any data
  • (D) They eliminate the need for evaluation

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Q. Which of the following best defines 'label' in supervised learning?

  • (A) A feature of the input
  • (B) An output value we want to predict
  • (C) A preprocessing step
  • (D) A noise in data

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Q. Which type of data is typically used for training image classification models?

  • (A) Tabular data
  • (B) Text data
  • (C) Labeled image data
  • (D) Audio data

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Q. Which of the following is a reinforcement learning environment?

  • (A) MNIST
  • (B) ImageNet
  • (C) OpenAI Gym
  • (D) CIFAR-10

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Q. Which branch of AI deals with enabling machines to understand and interpret human language?

  • (A) Computer Vision
  • (B) Natural Language Processing
  • (C) Expert Systems
  • (D) Robotics

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Q. Which of the following is a key challenge in AI?

  • (A) Too much labeled data
  • (B) Lack of data privacy
  • (C) Infinite computing power
  • (D) Manual coding of rules

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Q. Which of these best describes supervised learning?

  • (A) Learning from unlabeled data
  • (B) Learning from rewards and penalties
  • (C) Learning from labeled input-output pairs
  • (D) Learning from images only

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Q. Which type of AI is still theoretical and not yet developed?

  • (A) Narrow AI
  • (B) General AI
  • (C) Applied AI
  • (D) Reactive AI

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Q. Which is a common evaluation metric for regression tasks?

  • (A) Accuracy
  • (B) Precision
  • (C) Recall
  • (D) Mean Absolute Error

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