Question 1

In what scenario is transfer learning often applied in deep learning?

Options :

A : Text data processing

B : Small dataset for new task

C : Large dataset available

D : Unsupervised learning

Answer: B

Question 2

Which of the following tasks in NLP involves converting speech into text?

Options :

A : Speech Recognition

B : Sentiment Analysis

C : Text-to-Speech

D : Machine Translation

Answer: A

Question 3

Explain the concept of explainable AI (XAI).

Options :

A : It enhances server performance

B : It improves cloud computing

C : It enables transparency in AI decision-making

D : It optimizes network latency

Answer: C

Question 4

What is the purpose of computer vision in AI applications?

Options :

A : To enable machines to interpret and understand visual information.

B : To monitor radio signals in deep space.

C : To analyze geological formations.

D : To optimize the cooling systems in data centers.

Answer: A

Question 5

What is the primary goal of dependency parsing in NLP?

Options :

A : Translate languages

B : Classify text documents

C : Analyze grammatical relationships

D : Tokenize sentences

Answer: C

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