Artificial Intelligence (AI) MCQs with answers Page - 19

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 tells how well a classification model identifies positive results?

  • (A) Accuracy
  • (B) Precision
  • (C) Recall
  • (D) Loss

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Q. Which part of a neural network introduces non-linearity?

  • (A) Weights
  • (B) Activation Function
  • (C) Bias
  • (D) Input Layer

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Q. What does 'epoch' refer to in training a model?

  • (A) Model accuracy
  • (B) One pass over the full dataset
  • (C) Model complexity
  • (D) Prediction step

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Q. Which of these best defines 'feature engineering'?

  • (A) Training the model
  • (B) Designing the neural network
  • (C) Creating input variables from raw data
  • (D) Tuning hyperparameters

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Q. What does 'ReLU' stand for?

  • (A) Rectified Linear Unit
  • (B) Repeated Linear Unit
  • (C) Relative Logistic Unit
  • (D) Randomized Linear Update

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Q. Which of these is a high-level AI language often used with TensorFlow?

  • (A) Java
  • (B) C
  • (C) Python
  • (D) Assembly

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Q. Which AI field helps machines understand visual input?

  • (A) Natural Language Processing
  • (B) Computer Vision
  • (C) Speech Processing
  • (D) Recommendation Systems

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Q. Which machine learning model is suitable for binary classification problems?

  • (A) Linear Regression
  • (B) Logistic Regression
  • (C) K-Means Clustering
  • (D) PCA

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Q. Which of the following is a disadvantage of using AI in decision-making?

  • (A) Faster decisions
  • (B) Bias in training data can lead to unfair outcomes
  • (C) Higher accuracy
  • (D) Reduced workload

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Q. What is the role of the 'learning rate' in training neural networks?

  • (A) It defines the number of layers
  • (B) It controls the step size for weight updates
  • (C) It adds more training data
  • (D) It increases the model's accuracy directly

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