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 02, 2026

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Question 1

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assistcustomers with product inquiries, order tracking, and returns. The chatbot must be able to processtext inputs and image inputs to generate responses.Which AWS service meets these requirements?

A : Amazon Bedrock

B : Amazon Comprehend

C : Amazon Q

D : Amazon Rekognition

Answer: A

Question 2

A machine learning team at a tech company is developing a generative AI model to automate text generation for customer support. As part of optimizing the model’s performance, the team needs to adjust both model parameters and hyperparameters but wants to clearly understand the distinctions between the two. Understanding these differences is crucial for fine-tuning the model and improving its output.Which of the following highlights the key differences between model parameters and hyperparameters in the context of generative AI?

A : Hyperparameters are values that define a model and its behavior in interpreting input and generating responses. Model parameters are values that can be adjusted for model customization to control the training process

B : Both Hyperparameters and model parameters are values that define a model and its behavior in interpreting input and generating responses

C : Model parameters are values that define a model and its behavior in interpreting input and generating responses. Hyperparameters are values that can be adjusted for model customization to control the training process

D : Both Hyperparameters and model parameters are values that can be adjusted for model customization to control the training process

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

What is the key difference between a training set, validation set, and test set in the context of machine learning?

A : The training set is used for tuning hyperparameters, the validation set is used for evaluating the final model performance, and the test set is used for training the model

B : The training set is used for training the model, the validation set is used for tuning hyperparameters and model selection, and the test set is used for evaluating the final model performance

C : The training set, validation set, and test set all serve the same purpose of evaluating the model performance

D : The training set is used for evaluating model performance, the validation set is used for training the model, and the test set is used for hyperparameter tuning

Answer: B

Question 5

Which of the following use cases represent the best fit for Amazon SageMaker Asynchronous Inference deployment?

A : Requests with large payload sizes up to 1GB and long processing times

B : For workloads that can tolerate cold starts

C : To get predictions for an entire dataset

D : For persistent, real-time endpoints that make one prediction at a time

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Apr 02, 2026

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