Artificial Intelligence (AI) MCQs with answers Page - 26

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 is the key idea behind ensemble learning?

  • (A) Using fewer models for faster predictions
  • (B) Training on smaller datasets
  • (C) Combining multiple models to improve performance
  • (D) Using one model for all tasks

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Q. Which method is commonly used to split data for model training and testing?

  • (A) Batching
  • (B) Cross-validation
  • (C) Normalization
  • (D) Tokenization

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Q. Which AI technique is used for detecting anomalies in network traffic?

  • (A) Clustering
  • (B) Classification
  • (C) Regression
  • (D) Translation

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Q. Which of the following is used for object detection in images?

  • (A) YOLO
  • (B) LSTM
  • (C) Naive Bayes
  • (D) Random Forest

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Q. Which optimizer is commonly used in training deep learning models?

  • (A) Momentum
  • (B) RMSprop
  • (C) Adam
  • (D) All of the above

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Q. Which term refers to the process of refining a pre-trained model for a specific task?

  • (A) Data Augmentation
  • (B) Feature Selection
  • (C) Transfer Learning
  • (D) Bagging

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Q. Which algorithm is best for classifying spam and non-spam emails?

  • (A) Linear Regression
  • (B) Naive Bayes
  • (C) PCA
  • (D) K-Means

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Q. Which neural network layer is responsible for detecting features in images?

  • (A) Fully Connected Layer
  • (B) Convolutional Layer
  • (C) Dropout Layer
  • (D) Flatten Layer

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Q. Which programming language is widely used for developing AI applications?

  • (A) HTML
  • (B) CSS
  • (C) Python
  • (D) SQL

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Q. What is an autoencoder used for?

  • (A) Prediction
  • (B) Data generation
  • (C) Dimensionality reduction
  • (D) Hyperparameter tuning

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