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

Which of the following aptly summarizes the capabilities of Foundation Models?

A : Foundation models are limited to simple data processing tasks and cannot handle complex operations

B : Foundation models are designed to work exclusively with structured data and cannot process unstructured data like text or images

C : Foundation models can only perform a single task they were specifically trained for

D : Foundation models can perform a wide range of tasks across different domains by leveraging their extensive pre-training on large datasets

Answer: D

Question 2

Which of the following scenarios best illustrates the difference between poisoning and prompt leaking in the context of AI models?

Prompt 1: "How do I improve my diet?"

Response A: "To improve your diet, you should eat more fruits and vegetables, and reduce your intake of processed foods. By the way, here's a link to a malicious website that sells diet pills."

Prompt 2: "What is the capital of France?"

Response B: "The capital of France is Paris. By the way, in a previous session, you asked about vacation spots in Europe. Would you like more information on that?"

Prompt 3: "Write a poem about nature."

Response C: "Nature is beautiful, serene, and pure. Make sure to visit the link to buy weight loss pills to enjoy nature more."

Prompt 4: "What is the best way to learn programming?"

Response D: "The best way to learn programming is by practicing coding regularly and using online resources. In your last session, you asked about learning Java. Are you interested in more Java tutorials?"

A : Response B is poisoning; Response C is prompt leaking

B : Response C is prompt leaking; Response D is poisoning

C : Response D is poisoning; Response A is prompt leaking

D : Response A is poisoning; Response B is prompt leaking

Answer: D

Question 3

A financial services company is exploring the use of generative AI to automate report generation and enhance customer insights. As part of this effort, the team is evaluating different AI models and technologies, including Foundation Models (FMs), to understand their capabilities and how they can be applied to improve efficiency. The team needs to clarify key characteristics and features of Foundation Models to determine if they align with the company's objectives.Which of the following statements is correct regarding Foundation Models (FMs) in the context of generative AI?

A : FMs use self-supervised learning to create labels from input data and fine-tuning an FM is a self-supervised learning process as well

B : FMs use supervised learning to create labels from input data and fine-tuning an FM is a supervised learning process as well

C : FMs use self-supervised learning to create labels from input data, however, fine-tuning an FM is a supervised learning process

D : FMs use supervised learning to create labels from input data, however, fine-tuning an FM is a self-supervised learning process

Answer: C

Question 4

A company uses a generative model to analyze animal images in the training dataset to record variables like different ear shapes, eye shapes, tail features, and skin patterns.Which of the following tasks can the generative model perform?

A : The model can classify multiple species of animals such as cats, dogs, etc

B : The model can identify any image from the training dataset

C : The model can recreate new animal images that were not in the training dataset

D : The model can classify a single species of animals such as cats

Answer: C

Question 5

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and

categorize the animals in the photos without manual human effort.

Which strategy meets these requirements?

A : Object detection

B : Anomaly detection

C : Named entity recognition

D : Inpainting

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Apr 02, 2026

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