100% Free AIF-C01 Practice Exam Questions and Answers

Stay Ahead with Latest AIF-C01 AWS Certified Foundational Practice Test Questions 2026

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Total 737 Questions | Updated On: Sep 24, 2026

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Question 1

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

Question 2

A company uses Amazon SageMaker and various models fa Its AI workloads. The company needs to understand If Its AI workloads are ISO compliant. Which AWS service or feature meets these requirements?

A : AWS Audit Manager

B : Amazon SageMaker Model Cards

C : Amazon SageMaker Model Monitor

D : AWS Artifact

Answer: D

Question 3

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from thecustomer service department. The AI practitioner wants to store invocation logs to monitor modelinput and output data.

A : Configure AWS CloudTrail as the logs destination for the model.

B : Enable model invocation logging in Amazon Bedrock.

C : Configure AWS Audit Manager as the logs destination for the model.

D : Configure model invocation logging in Amazon EventBridge.

Answer: B

Question 4

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).

The FM encounters a failure when attempting to access the S3 bucket data.

Which solution will meet these requirements?

A : Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B : Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C : Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D : Ensure that the S3 data does not contain sensitive information.

Answer: A

Question 5

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

Page: 1 / 148

Total 737 Questions | Updated On: Sep 24, 2026

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