Question 1

How can AI contribute positively to environmental sustainability efforts?

Options :

A : Reducing carbon emissions through smart transportation systems

B : Enhancing wildlife conservation efforts through AI-powered monitoring

C : Improving agricultural yield through precision farming

D : Optimizing energy consumption in industrial processes

Answer: B

Question 2

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 3

Why are pre-trained embeddings often used in natural language processing (NLP)?

Options :

A : Improve learning speed

B : Minimize context dependencies

C : Capture semantic relationships

D : Handle syntactic errors

Answer: C

Question 4

What are the ethical implications of AI-generated content, such as deepfakes?

Options :

A : Protection of intellectual property rights

B : Misinformation and manipulation of public opinion

C : Increased transparency and authenticity in media

D : Enhancement of creative industries

Answer: B

Question 5

Which type of machine learning algorithm is used when the output is a continuous value?

Options :

A : Regression

B : Classification

C : Association

D : Clustering

Answer: A

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