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: Sep 17, 2026

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Question 1

Which statement best defines the use of MLflow with Amazon SageMaker ?

A : Label data using human-in-the-loop

B : Manage machine learning experiments

C : Perform automatic model tuning

D : Leverage no-code ML

Answer: B

Question 2

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).

The FM encounters a failure when attempting to access the S3 bucket data.

Which solution will meet these requirements?

A : Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B : Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C : Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D : Ensure that the S3 data does not contain sensitive information.

Answer: A

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

An AI paritioner is developing a new ML model. After training the model, the AI practitionerevaluates the accuracy of the model's predictions. The model's accuracy is low when the model usesboth the training dataset and the test dataset.Which scenario is the MOST likely cause of this problem?

A : Overfitting

B : Hallucination

C : Underfitting

D : Cross-validation

Answer: C

Question 5

A company is deploying a generative AI model on Amazon Bedrock and needs to reduce the cost of usage while using prompt examples of up to 10 sample tasks as part of each input.Which approach would be the most effective in minimizing the costs associated with model usage?

A : The company should reduce the temperature inference parameter for the model

B : The company should reduce the number of tokens in the input

C : The company should reduce the top-P inference parameter for the model

D : The company should reduce the batch size while training the model

Answer: B

Page: 1 / 148

Total 737 Questions | Updated On: Sep 17, 2026

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