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: May 12, 2026

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Question 1

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 2

Which of the following aptly summarizes the capabilities of Foundation Models?

A : Foundation models are limited to simple data processing tasks and cannot handle complex operations

B : Foundation models are designed to work exclusively with structured data and cannot process unstructured data like text or images

C : Foundation models can only perform a single task they were specifically trained for

D : Foundation models can perform a wide range of tasks across different domains by leveraging their extensive pre-training on large datasets

Answer: D

Question 3

A financial company is developing a generative AI application for loan approval decisions. Thecompany needs the application output to be responsible and fair.

A : Review the training data to check for biases. Include data from all demographics in the training data.

B : Use a deep learning model with many hidden layers.

C : Keep the model's decision-making process a secret to protect proprietary algorithms.

D : Continuously monitor the model's performance on a static test dataset.

Answer: A

Question 4

Which option is a characteristic of AI governance frameworks for building trust and deploying humancentered AI technologies?

A : Expanding initiatives across business units to create long-term business value

B : Ensuring alignment with business standards, revenue goals, and stakeholder expectations

C : Overcoming challenges to drive business transformation and growth

D : Developing policies and guidelines for data, transparency, responsible AI, and compliance\