Free Practice USAII CAIS Exam Questions 2025

Stay ahead with 100% Free Certified Artificial Intelligence Scientist (CAIS) CAIS Dumps Practice Questions

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Total 540 Questions | Updated On: Apr 21, 2025

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Question 1

How can ensemble methods improve the robustness of large language models in production environments?

A : By refining the tokenization process

B : By optimizing the learning rate schedules

C : By increasing the training data size

D : By combining outputs of multiple models

Answer: D

Question 2

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

A : torch.nn.functional.relu()

B : torch.nn.ReLU()

C : apply_relu()

D : relu()

Answer: A

Question 3

How can ensemble methods improve the robustness of large language models in production environments?

A : By refining the tokenization process

B : By optimizing the learning rate schedules

C : By increasing the training data size

D : By combining outputs of multiple models

Answer: D

Question 4

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

A : PyTorch

B : Theano

C : TensorFlow

D : MXNet

Answer: C

Question 5

Which optimization algorithm is known for its use of momentum to accelerate convergence and improve gradient descent performance in deep learning?

A : RMSprop Optimizer adapts learning rates based on recent gradients but does not incorporate momentum.

B : Stochastic Gradient Descent (SGD) with Momentum is used to enhance convergence speed by adding a fraction of the previous update to the current gradient.

C : Adagrad Optimizer adjusts learning rates based on historical gradients but does not use momentum.

D : Adam Optimizer uses adaptive learning rates for different parameters and combines momentum with adaptive gradients for improved training.

Answer: D

Page: 1 / 108

Total 540 Questions | Updated On: Apr 21, 2025

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