Question 1

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 2

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 3

Which technique is used to handle the problem of overfitting in NLP models?

Options :

A : Gradient Descent

B : Batch Normalization

C : Dropout Regularization

D : Max Pooling

Answer: C

Question 4

What is a neural network layer responsible for learning features in an image?

Options :

A : Convolutional layer

B : Activation layer

C : Dropout layer

D : Recurrent layer

Answer: A

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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