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: Dec 06, 2025

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Question 1

How does the inference parameter Temperature influence the model response for Amazon Bedrock?

A : Influences the number of most-likely candidates that the model considers for the next token

B : Influences the percentage of most-likely candidates that the model considers for the next token

C : Influences the likelihood of the model selecting lower-probability outputs, thereby impacting the creativity of the model’s output

D : Specifies the sequences of characters that stop the model from generating further tokens

Answer: C

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

Which of the following correctly describes the three main types of machine learning?

A : Transfer Learning, Semi-supervised Learning, Self-supervised Learning

B : Deep Learning, Self-supervised Learning, Reinforcement Learning

C : Reinforcement Learning, Transfer Learning, Semi-supervised Learning

D : Supervised learning, Unsupervised learning, Deep Learning

Answer: D

Question 4

A security company is evaluating Amazon Rekognition to enhance its Machine Learning (ML) capabilities. However, the data science team needs to identify scenarios where Amazon Rekognition may not be the most suitable solution. Understanding these limitations will help the team select the right tools for different aspects of their security system.Given this context, which of the following use cases is NOT the right fit for Amazon Rekognition?

A : Celebrity recognition

B : Enable multilingual user experiences in your applications

C : Face-based user identity verification

D : Searchable media libraries

Answer: B

Question 5

A company is building an ML model to analyze archived data. The company must perform inference on large

datasets that are multiple GBs in size. The company does not need to access the model predictions

immediately.

Which Amazon SageMaker inference option will meet these requirements?

A : Batch transform

B : Real-time inference

C : Serverless inference

D : Asynchronous inference

Answer: A

Page: 1 / 119

Total 595 Questions | Updated On: Dec 06, 2025

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