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: Feb 10, 2026

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Question 1

A retail company is using an Amazon SageMaker machine learning model to analyze customer purchasing patterns and predict future buying behavior. The data scientists at the company regularly need to process datasets of less than 1 GB, such as daily sales records and customer interaction logs. The company does not require immediate responses and can afford some delay in receiving the analysis results, as the insights are primarily used for weekly strategy meetings.Which inference method would be the most suitable for the company in this scenario?

A : Batch inference

B : Serverless inference

C : Asynchronous inference

D : Real-time inference

Answer: C

Question 2

Which deployment model is the right fit for workloads that can tolerate cold starts in Amazon SageMaker?

A : Batch transform

B : Real-time hosting services

C : Serverless Inference

D : Asynchronous Inference

Answer: C

Question 3

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

Question 4

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 5

A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products. Which methodology should the company use to meet these requirements?

A : Supervised learning

B : Unsupervised learning

C : Reinforcement learning

D : Reinforcement learning from human feedback (RLHF)

Answer: B

Page: 1 / 119

Total 595 Questions | Updated On: Feb 10, 2026

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