Selected MCQ

Current Question
In natural language processing, which model is specifically designed to handle sequential data by maintaining a hidden state that carries information through steps?
  • A. Convolutional Neural Network (CNN)
  • B. Recurrent Neural Network (RNN)
  • C. Support Vector Machine (SVM)
  • D. Decision Tree
Correct Answer: B
Explanation:
RNNs are designed for sequential data, with hidden states capturing information across sequence elements.
Related Question 1
Which of these models is specifically designed for image recognition tasks?
  • A. RNN
  • B. CNN
  • C. LSTM
  • D. Naive Bayes
Correct Answer: B
Explanation:
Convolutional Neural Networks (CNNs) are designed for processing image data.
Related Question 2
What is 'word embedding' in natural language processing?
  • A. A way to vectorize words, capturing semantics
  • B. A web embedding in HTML
  • C. A type of encryption
  • D. A grammar technique
Correct Answer: A
Explanation:
Word embeddings convert words into numeric vectors that capture semantic relationships.
Related Question 3
Which of the following is a transformer-based language model developed by Google?
  • A. GPT
  • B. BERT
  • C. ResNet
  • D. AlexNet
Correct Answer: B
Explanation:
BERT is a transformer-based model by Google for NLP tasks.
Related Question 4
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.
Related Question 5
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.