Artificial Intelligence (AI) MCQs with answers Page - 23

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 metric measures the model’s ability to avoid false negatives?

  • (A) Precision
  • (B) Accuracy
  • (C) Recall
  • (D) F1-Score

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Q. Which AI field involves detecting human emotions using machines?

  • (A) Expert Systems
  • (B) Emotion AI
  • (C) Machine Vision
  • (D) Symbolic AI

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Q. What is the output of a classification algorithm?

  • (A) Numerical value
  • (B) Category label
  • (C) Cluster ID
  • (D) Feature weight

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Q. Which algorithm is most suitable for identifying customer segments?

  • (A) Logistic Regression
  • (B) Naive Bayes
  • (C) K-Means Clustering
  • (D) SVM

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Q. Which of the following tasks can AI perform in agriculture?

  • (A) Crop monitoring
  • (B) Soil analysis
  • (C) Predicting yields
  • (D) All of the above

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Q. Which technology enables machines to see and interpret visual data?

  • (A) Computer Vision
  • (B) Reinforcement Learning
  • (C) Speech Recognition
  • (D) Deep Q-Learning

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Q. Which term is used for AI that is designed to perform a single task?

  • (A) Strong AI
  • (B) Narrow AI
  • (C) General AI
  • (D) Conscious AI

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Q. What does 'training' a model mean in AI?

  • (A) Running the model on real-world data
  • (B) Providing the model with data to learn from
  • (C) Using AI to label datasets
  • (D) Tuning the browser settings

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Q. Which term refers to the difference between predicted and actual output in AI?

  • (A) Error
  • (B) Variance
  • (C) Bias
  • (D) Overfitting

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Q. Which neural network is commonly used for natural language processing tasks?

  • (A) CNN
  • (B) RNN
  • (C) GAN
  • (D) DBN

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