Question 1

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

Question 2

In AI, what does the term 'machine learning' refer to?

Options :

A : Automating repetitive physical tasks.

B : The process of designing hardware for AI systems.

C : Algorithms that enable computers to learn from data.

D : Programming languages used exclusively by machines.

Answer: C

Question 3

In NLP, what is the term for removing words like 'and', 'is', and 'the' from a text?

Options :

A : Stopword Removal

B : Tokenization

C : Stemming

D : Lemmatization

Answer: A

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

Which layer in a convolutional neural network (CNN) is responsible for reducing the spatial dimensions of the input volume?

Options :

A : Fully connected layer

B : Convolutional layer

C : Pooling layer

D : Activation layer

Answer: C

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