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

What is an example of structured data?

A : A file of text comments from an online forum

B : A compilation of video files that contains news broadcasts

C : A CSV file that consists of measurement data

D : Transcribed conversations between call center agents and customers

Answer: C

Question 2

In the context of security and privacy for AI systems on AWS, what is the primary difference between threat detection and vulnerability management?

A : Threat detection involves real-time monitoring and identification of active threats, whereas vulnerability management is about identifying, assessing, and mitigating security weaknesses

B : Threat detection focuses on identifying potential weaknesses in the system, while vulnerability management continuously monitors for malicious activities

C : Threat detection and vulnerability management both exclusively focus on compliance with regulatory requirements

D : Threat detection is concerned with data encryption and access controls, while vulnerability management deals with incident response and recovery

Answer: A

Question 3

What is the key difference between SageMaker model cards and AI service cards?

A : SageMaker model cards are used exclusively for monitoring model performance, whereas AI service cards are used for managing model security

B : SageMaker model cards include information about the model such as intended use and risk rating of a model, training details and metrics, evaluation results, and observations. AI service cards provide transparency about AWS AI services' intended use, limitations, and potential impacts

C : SageMaker model cards are used to store data for machine learning models, while AI service cards are used for storing user credentials

D : SageMaker model cards provide technical documentation for deploying models, while AI service cards offer transparency about the intended use, limitations, and potential impacts of AWS AI services

Answer: B

Question 4

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 5

Which of the following services is specifically designed to provide insights into model predictions by explaining how input features contribute to the final output?

A : Amazon SageMaker Clarify

B : Amazon SageMaker Feature Store

C : Amazon SageMaker Model Monitor

D : Amazon SageMaker Canvas

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Mar 07, 2026

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