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: Apr 14, 2026

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Question 1

A retail company is looking to implement AI-driven solutions to enhance its in-store operations, such as automating inventory management and improving security through visual monitoring. The company wants to leverage pre-trained computer vision (CV) models for fast deployment but also needs the flexibility to customize these models to fit specific business needs. To make an informed decision, the team is evaluating AWS services that offer both pre-trained and customizable computer vision capabilities.What do you suggest?

A : Amazon SageMaker

B : Amazon DeepRacer

C : Amazon Rekognition

D : Amazon Textract

Answer: C

Question 2

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner is creatingsystem instructions that include context relevant to the tasks. The AI practitioner wants to save andreuse the instructions in daily interactions with FMs in Amazon Bedrock.Which Amazon Bedrock solution will meet these requirements?

A : Knowledge Bases

B : Guardrails

C : Playgrounds

D : Prompt management

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 AWS services/tools can be used to implement Responsible AI practices? (Select two)

A : AWS Audit Manager

B : Amazon SageMaker JumpStart

C : Amazon Inspector

D : Amazon SageMaker Model Monitor

E : Amazon SageMaker Clarify

Answer: D,E

Question 5

Which of the following are correct regarding model evaluation for Amazon Bedrock? (Select two)

A : Human model evaluation is valuable for assessing qualitative aspects of the model, whereas, automatic model valuation is valuable for assessing quantitative aspects of the model

B : For human model evaluation, you can use either built-in prompt datasets or your own prompt datasets

C : Human model evaluation provides model scores that are calculated using various statistical methods such as BERT Score and F1

D : Automatic model evaluation is valuable for assessing qualitative aspects of the model, whereas, human model valuation is valuable for assessing quantitative aspects of the model

E : Automatic model evaluation provides model scores that are calculated using various statistical methods such as BERT Score and F1

Answer: A,E

Page: 1 / 148

Total 737 Questions | Updated On: Apr 14, 2026

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