Question 1

Why is the SVM optimization problem often referred to as a convex optimization problem?

Options :

A : The objective function has a single global minimum ensuring unique solutions.

B : The kernel functions used are linear, simplifying the optimization process.

C : The support vectors form a convex set leading to easier optimization.

D : The decision boundary is always linear, making optimization straightforward.

Answer: A

Question 2

What is the primary benefit of using prompt engineering in advanced applications of large language models?

Options :

A : Enhancing the interpretability of outputs

B : Simplifying the model’s training process

C : Reducing the model-s computational load

D : Tailoring model responses to specific tasks

Answer: D

Question 3

What is the key advantage of using the RMSprop optimizer over standard SGD?

Options :

A : It reduces the model-s training time by half.

B : It eliminates the need for tuning the learning rate.

C : It adapts learning rates for each parameter based on recent gradient magnitudes.

D : It provides exact solutions to optimization problems.

Answer: C

Question 4

Which strategy is effective in aligning AI projects with stakeholder expectations?

Options :

A : Focusing on internal team preferences over stakeholder requirements

B : Limiting stakeholder input to avoid conflicting opinions

C : Regularly engaging stakeholders and incorporating their feedback into project planning

D : Making decisions based solely on technical feasibility without stakeholder input

Answer: C

Question 5

What is the primary objective of a Denoising Autoencoder?

Options :

A : To reconstruct clean data from noisy inputs

B : To add noise to the input for robust learning

C : To compress data

D : To handle missing values

Answer: A

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