Free Amazon AIF-C01 Exam Questions

Become Amazon Certified with updated AIF-C01 exam questions and correct answers

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Total 460 Questions | Updated On: Feb 20, 2025

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Question 1

Which of the following aptly summarizes the capabilities of Foundation Models?

A : Foundation models are limited to simple data processing tasks and cannot handle complex operations

B : Foundation models are designed to work exclusively with structured data and cannot process unstructured data like text or images

C : Foundation models can only perform a single task they were specifically trained for

D : Foundation models can perform a wide range of tasks across different domains by leveraging their extensive pre-training on large datasets

Answer: D

Question 2

Consider a scenario where a fully-managed AWS service needs to be used for automating the extraction of insights from legal briefs such as contracts and court records.What do you recommend?

A : Amazon Translate

B : Amazon Comprehend

C : Amazon Rekognition

D : Amazon Transcribe

Answer: B

Question 3

A financial services company is exploring the use of generative AI to automate report generation and enhance customer insights. As part of this effort, the team is evaluating different AI models and technologies, including Foundation Models (FMs), to understand their capabilities and how they can be applied to improve efficiency. The team needs to clarify key characteristics and features of Foundation Models to determine if they align with the company's objectives.Which of the following statements is correct regarding Foundation Models (FMs) in the context of generative AI?

A : FMs use self-supervised learning to create labels from input data and fine-tuning an FM is a self-supervised learning process as well

B : FMs use supervised learning to create labels from input data and fine-tuning an FM is a supervised learning process as well

C : FMs use self-supervised learning to create labels from input data, however, fine-tuning an FM is a supervised learning process

D : FMs use supervised learning to create labels from input data, however, fine-tuning an FM is a self-supervised learning process

Answer: C

Question 4

A company uses a generative model to analyze animal images in the training dataset to record variables like different ear shapes, eye shapes, tail features, and skin patterns.Which of the following tasks can the generative model perform?

A : The model can classify multiple species of animals such as cats, dogs, etc

B : The model can identify any image from the training dataset

C : The model can recreate new animal images that were not in the training dataset

D : The model can classify a single species of animals such as cats

Answer: C

Question 5

A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy

policies, the company wants to prevent the model from including personal patient information in its

responses. The company also wants to receive notification when policy violations occur.

Which solution meets these requirements?

A : Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.

B : Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.

C : Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.

D : Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

Answer: C

Page: 1 / 92

Total 460 Questions | Updated On: Feb 20, 2025

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