AIF-C01 Practice Test

A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.

Which solution will meet these requirements?

A. Configure the security and compliance by using Amazon Inspector.

B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.

C. Encrypt and secure training data by using Amazon Macie.

D. Gather more data. Use Amazon Rekognition to add custom labels to the data.

A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.

Which solution meets these requirements?

A. Optimize the model's architecture and hyperparameters to improve the model's overall performance.

B. Increase the model's complexity by adding more layers to the model's architecture.

C. Create effective prompts that provide clear instructions and context to guide the model's generation.

D. Select a large, diverse dataset to pre-train a new generative model.

Which of the following AWS services is best suited for building and deploying machine learning models without managing infrastructure?

A. Amazon EC2

B. Amazon S3

C. Amazon SageMaker

D. AWS Lambda

Which of the following Amazon AI services can be used to analyze text and detect the sentiment expressed in it?

A. Amazon Polly

B. Amazon Lex

C. Amazon Comprehend

D. Amazon Rekognition

In the context of machine learning, what is overfitting?

A. A model performs well on training data but poorly on unseen data.

B. A model performs equally well on both training and testing data.

C. A model underperforms on both training and testing data.

D. A model performs poorly on training data but well on unseen data.