Free Amazon AIF-C01 Exam Questions

Become Amazon Certified with updated AIF-C01 exam questions and correct answers

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Total 552 Questions | Updated On: Jul 30, 2025

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Question 1

What is a key difference between Amazon Bedrock and Amazon SageMaker JumpStart?

A : Amazon Bedrock provides foundational models for generative AI applications, whereas Amazon SageMaker JumpStart offers pre-built solutions and one-click deployment for various machine learning models

B : Amazon SageMaker JumpStart provides foundational models for generative AI applications, whereas Amazon Bedrock offers pre-built solutions and one-click deployment for various machine learning models

C : Amazon SageMaker JumpStart is designed for building and scaling machine learning models, whereas Amazon Bedrock is used for real-time data analytics

D : Amazon Bedrock is designed for building and scaling machine learning models, whereas Amazon SageMaker JumpStart is used for real-time data analytics

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

Which type of cloud computing does Amazon Elastic Compute Cloud (EC2) represent?

A : Infrastructure as a Service (IaaS)

B : Network as a Service (NaaS)

C : Platform as a Service (PaaS)

D : Software as a Service (SaaS)

Answer: A

Question 4

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 5

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\

Answer: D

Page: 1 / 111

Total 552 Questions | Updated On: Jul 30, 2025

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