Question 1

How does model training work in Deep Learning?

Options :

A : Model training in deep learning involves manually setting the weights and biases of a neural network based on predefined rules

B : Model training in deep learning involves using large datasets to adjust the weights and biases of a neural network through multiple iterations, using techniques such as gradient descent to minimize the error

C : Model training in deep learning involves only the use of support vector machines and decision trees to create predictive models

D : Model training in deep learning requires no data; the neural network automatically learns from predefined algorithms without any input

Answer: B

Question 2

A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly. What should the company do to mitigate this problem?

Options :

A : Reduce the volume of data that is used in training.

B : Add hyperparameters to the model.

C : Increase the volume of data that is used in training.

D : Increase the model training time.

Answer: C

Question 3

A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level. Which solution will meet these requirements?

Options :

A : Decrease the batch size.

B : Increase the epochs.

C : Decrease the epochs.

D : Increase the temperature parameter.

Answer: B

Question 4

Which AWS services/tools can be used to implement Responsible AI practices? (Select two)

Options :

A : AWS Audit Manager

B : Amazon SageMaker JumpStart

C : Amazon Inspector

D : Amazon SageMaker Model Monitor

E : Amazon SageMaker Clarify

Answer: D,E

Question 5

A company wants to collaborate with several research institutes to develop an AI model. The company needs standardized documentation of model version tracking and a record of model development. Which solution meets these requirements?

Options :

A : Track the model changes by using Git.

B : Track the model changes by using Amazon Fraud Detector.

C : Track the model changes by using Amazon SageMaker Model Cards.

D : Track the model changes by using Amazon Comprehend.

Answer: C

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