Free Amazon AIF-C01 Exam Questions

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

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Total 737 Questions | Updated On: Mar 07, 2026

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Question 1

A financial company is training a generative AI model to predict outcomes of loan applications. Thetraining dataset is small. The dataset categorizes loan applicants as "younger-aged," "middle-aged,"or "older-aged." Most individuals in the dataset are characterized as "middle-aged."The company removes the age range feature from the training dataset.Which model behavior will likely happen as a result of this change to the dataset?

A : The model will inaccurately predict outcomes for younger and older age groups.

B : The model will require less training data.

C : The model will predict accurate outcomes for only younger age groups.

D : The model will accurately predict outcomes for all ages.

Answer: A

Question 2

Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?

A : Calculate the total cost of resources used by the model.

B : Measure the model's accuracy against a predefined benchmark dataset.

C : Count the number of layers in the neural network.

D : Assess the color accuracy of images processed by the model.

Answer: B

Question 3

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

Question 4

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 5

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and

categorize the animals in the photos without manual human effort.

Which strategy meets these requirements?

A : Object detection

B : Anomaly detection

C : Named entity recognition

D : Inpainting

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Mar 07, 2026

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