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: Mar 24, 2026

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Question 1

Which of the following is correct regarding underfitting/overfitting in machine learning?

A : Underfit models experience low bias, whereas, overfit models experience high variance

B : Underfit models experience high bias, whereas, overfit models experience high variance

C : Underfit models experience low bias, whereas, overfit models experience low variance

D : Underfit models experience high bias, whereas, overfit models experience low variance

Answer: B

Question 2

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 3

The admissions committee at an Ivy League university has noticed an increasing use of generative AI tools, such as language models, by applicants to draft their application essays. Concerned that some students may be using these tools to produce content that is not their original work, the committee aims to implement measures to detect the use of AI in essay creation. Their goal is to ensure that all submissions reflect the genuine thoughts and abilities of the applicants, thus maintaining the integrity and fairness of the admissions process.What specific issue is the admissions committee primarily trying to address by detecting the use of generative AI in application essays?

A : Plagiarism

B : Bias

C : Hallucination

D : Misinterpretation

Answer: A

Question 4

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base. Which technique should the company use to optimize the generated responses?

A : Use Retrieval Augmented Generation (RAG).

B : Use few-shot prompting.

C : Set the temperature to 1.

D : Decrease the token size.

Answer: A

Question 5

Which of the following aptly summarizes the way diffusion models work?

A : Diffusion models work by learning a compact representation of data called latent space

B : Diffusion models are a type of transformer-based models that use a self-attention mechanism

C : Diffusion models work by training two neural networks in a competitive manner

D : Diffusion models create new data by iteratively making controlled random changes to an initial data sample

Answer: D

Page: 1 / 148

Total 737 Questions | Updated On: Mar 24, 2026

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