Selected MCQ

Current Question
Which learning approach would you use if you have labeled data to train a model to predict outcomes?
  • A. Supervised learning
  • B. Unsupervised learning
  • C. Reinforcement learning
  • D. Deep learning
Correct Answer: A
Explanation:
Labeled data used to predict outcomes corresponds to supervised learning.
Related Question 1
Which concept involves using sensor data to create a 3D model of a city or facility?
  • A. Digital wallet
  • B. Digital twin
  • C. Virtual machine
  • D. Quantum replica
Correct Answer: B
Explanation:
Digital twins can model entire environments or systems in real-time using sensor data.
Related Question 2
Which term describes training a model on multiple GPUs or servers simultaneously?
  • A. Distributed training
  • B. Batch processing
  • C. Layer-wise training
  • D. Fusion
Correct Answer: A
Explanation:
Distributed training spreads the training process across multiple devices or machines.
Related Question 3
Which concept refers to a model's ability to perform well on unseen data?
  • A. Underfitting
  • B. Overfitting
  • C. Generalization
  • D. Normalization
Correct Answer: C
Explanation:
Generalization is a model's ability to apply learned patterns to new data.
Related Question 4
What is the purpose of a 'validation set' during model training?
  • A. To train the model parameters
  • B. To evaluate the final model performance
  • C. To tune hyperparameters and avoid overfitting
  • D. To serve as training data
Correct Answer: C
Explanation:
The validation set is used to tune hyperparameters and detect overfitting during training.
Related Question 5
Which layer of the OSI model handles data encryption and session management?
  • A. Network
  • B. Transport
  • C. Application
  • D. Presentation
Correct Answer: D
Explanation:
The Presentation layer (layer 6) deals with data encryption and formatting.