Question 1

What is an effective way to communicate risk status to stakeholders?

Options :

A : Providing detailed technical risk assessments

B : Only reporting risks that have already materialized

C : Using clear and concise summaries of risk status

D : Avoiding risk communication to prevent concern

Answer: C

Question 2

In which deep learning library would you primarily use tf.data for efficient data input pipelines and dataset manipulation?

Options :

A : PyTorch

B : Theano

C : TensorFlow

D : MXNet

Answer: C

Question 3

Which PyTorch function is used to calculate the mean squared error between predicted and target tensors?

Options :

A : torch.nn.functional.mse_loss()

B : torch.mean_squared_error()

C : nn.MSELoss()

D : mse_loss()

Answer: C

Question 4

What method would you use to apply a ReLU activation function element-wise in a PyTorch model?

Options :

A : torch.nn.functional.relu()

B : torch.nn.ReLU()

C : apply_relu()

D : relu()

Answer: A

Question 5

What is a key benefit of integrating business stakeholders into the AI development process?

Options :

A : Delegating technical decisions solely to the development team

B : Ensuring alignment with business objectives and requirements

C : Limiting stakeholder input to avoid project delays

D : Minimizing discussions to focus on technical challenges

Answer: B