Selected MCQ

Current Question
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 1
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 2
Which of these is a best practice for password security?
  • A. Writing passwords on sticky notes
  • B. Using multi-factor authentication
  • C. Reusing the same password everywhere
  • D. Sharing passwords with colleagues
Correct Answer: B
Explanation:
MFA (like combining a password with a code) greatly increases account security.
Related Question 3
What is a common method for brute-forcing network passwords?
  • A. SQL injection
  • B. Dictionary attack
  • C. DNS spoofing
  • D. Packet sniffing
Correct Answer: B
Explanation:
A dictionary attack tries many possible passwords from a wordlist to guess credentials.
Related Question 4
Which of these is a strong example of a password per security best practices?
  • A. password123
  • B. P@55w0rd
  • C. Qwerty!
  • D. 7h!5Is$tr0ng
Correct Answer: D
Explanation:
A strong password uses a mix of symbols, letters, and numbers in an unpredictable way.
Related Question 5
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.