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: Feb 10, 2026

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Question 1

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 2

A retail company is using an Amazon SageMaker machine learning model to analyze customer purchasing patterns and predict future buying behavior. The data scientists at the company regularly need to process datasets of less than 1 GB, such as daily sales records and customer interaction logs. The company does not require immediate responses and can afford some delay in receiving the analysis results, as the insights are primarily used for weekly strategy meetings.Which inference method would be the most suitable for the company in this scenario?

A : Batch inference

B : Serverless inference

C : Asynchronous inference

D : Real-time inference

Answer: C

Question 3

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service. Which AWS service meets these requirements?

A : Amazon CloudWatch

B : AWS CloudTrail

C : AWS Trusted Advisor

D : AWS Config

Answer: A

Question 4

Which statement best describes the Amazon Personalize service?

A : Elevate the customer experience with ML-powered personalization

B : Automatically convert speech to text and gain insights

C : Deploy high-quality, natural-sounding human voices in dozens of languages

D : Derive and understand valuable insights from text within documents

Answer: A

Question 5

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

Page: 1 / 119

Total 595 Questions | Updated On: Feb 10, 2026

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