Question 1

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 2

Which approach is used in object detection to ensure that small objects are detected accurately in an image with a high resolution?

Options :

A : Single-Scale Detection

B : Multi-Scale Detection

C : Image Rescaling

D : Class Balancing

Answer: B

Question 3

Which approach best supports the democratization of AI technologies?

Options :

A : Focusing solely on high-performance models without considering accessibility

B : Creating and promoting open-source AI tools and platforms

C : Developing proprietary models that are inaccessible to the public

D : Restricting access to AI research and development to large corporations

Answer: B

Question 4

Why might one choose a linear kernel over a non-linear kernel in SVMs?

Options :

A : Linear kernels provide better scalability in high dimensions.

B : Linear kernels are more efficient for large, sparse datasets.

C : Non-linear kernels require more support vectors to perform well.

D : Non-linear kernels tend to overfit small training datasets.

Answer: B

Question 5

What is a potential ethical concern regarding the deployment of AI in decision-making systems?

Options :

A : Applying AI algorithms uniformly across different domains without adaptation

B : Increasing the model-s complexity to handle more diverse data

C : Reducing the number of parameters in the AI model to improve performance

D : Using AI solely for enhancing operational efficiency without assessing fairness

Answer: D

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