Free Amazon AIF-C01 Exam Questions

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

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Total 595 Questions | Updated On: Jan 13, 2026

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Question 1

Which of the following is mandatory when setting autotune configuration for Amazon SageMaker Automatic Model Tuning (AMT) ?

A : None

B : Number of jobs

C : Hyperparameter ranges

D : Tuning strategy

Answer: A

Question 2

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 3

Which of the following AWS services powers Amazon Q Business?

A : Amazon Kendra

B : Amazon Q Apps

C : Amazon Bedrock

D : Amazon SageMaker Jumpstart

Answer: C

Question 4

Which AWS service is specifically designed for converting medical speech to text, ensuring compliance with healthcare regulations such as HIPAA?

A : Amazon Rekognition

B : Amazon Polly

C : Amazon Transcribe medical

D : Amazon Transcribe

Answer: C

Question 5

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

A : Include more diverse training data. Fine-tune the model again by using the new data.

B : Use Retrieval Augmented Generation (RAG) with the fine-tuned model.

C : Use AWS Trusted Advisor checks to eliminate bias.

D : Pre-train a new LLM with more diverse training data.

Answer: A

Page: 1 / 119

Total 595 Questions | Updated On: Jan 13, 2026

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