Question 1

Which AWS service integrates with Amazon SageMaker to provide distributed training capabilities?

Options :

A : Amazon EC2

B : AWS Lambda

C : Amazon Elastic MapReduce

D : AWS Batch

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 role does the decision boundary play in linear classification algorithms?

Options :

A : It defines the hyperplane that maximizes the margin.

B : It determines the probability thresholds for classification.

C : It separates the classes based on the feature space.

D : It adjusts the learning rate to optimize performance.

Answer: C

Question 4

In the context of explainability, what is a common limitation of using global feature importance methods?

Options :

A : They require complex mathematical calculations

B : They increase model training time significantly

C : They only work with linear models

D : They miss feature interaction effects

Answer: D

Question 5

Which approach best manages the risk of privacy breaches in machine learning systems dealing with sensitive data?

Options :

A : Using more frequent data updates

B : Increasing model complexity

C : Implementing differential privacy mechanisms

D : Employing larger training datasets

Answer: C

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