Free Amazon AIF-C01 Exam Questions

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

Page: 1 / 148

Total 737 Questions | Updated On: Mar 13, 2026

Add To Cart

Question 1

A company needs large, high-quality, and labeled datasets for training its machine learning models. Which Amazon SageMaker service helps build high-quality training datasets?

A : Amazon SageMaker Canvas

B : Amazon SageMaker JumpStart

C : Amazon SageMaker Feature Store

D : Amazon SageMaker Ground Truth

Answer: D

Question 2

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 3

A company is building a custom AI solution in Amazon SageMaker Studio to analyze financialtransactions for fraudulent activity in real time. The company needs to ensure that the connectivityfrom SageMaker Studio to Amazon Bedrock traverses the companys VPC.Which solution meets these requirements?

A : Configure AWS Identity and Access Management (IAM) roles and policies for SageMaker Studio toaccess Amazon Bedrock.

B : Configure Amazon Macie to proxy requests from SageMaker Studio to Amazon Bedrock.

C : Configure AWS PrivateLink endpoints for the Amazon Bedrock API endpoints in the VPC thatSageMaker Studio is connected to.

D : Configure a new VPC for the Amazon Bedrock usage. Register the VPCs as peers.

Answer: C

Question 4

How would you differentiate between K-Means and K-Nearest Neighbors (KNN) algorithms in machine learning?

A : K-Means is primarily used for regression tasks, while KNN is used for reducing the dimensionality of data

B : K-Means is an unsupervised learning algorithm used for clustering data points into groups, while KNN is a supervised learning algorithm used for classifying data points based on their proximity to labeled examples

C : K-Means is a supervised learning algorithm used for classification, while KNN is an unsupervised learning algorithm used for clustering

D : K-Means requires labeled data to form clusters, whereas KNN does not use labeled data for making predictions

Answer: B

Question 5

A retail company is exploring the use of generative AI to improve its customer experience by personalizing recommendations and automating product descriptions. The company is interested in leveraging pre-built, high-performing Foundation Models (FMs) to accelerate development but also needs the ability to customize these models with its proprietary data to meet specific business needs. The company is seeking an AWS service that not only provides access to a variety of Foundation Models but also offers the option to privately fine-tune and customize these models for their unique use case.Which AWS service/feature offers a choice of high-performing Foundation Models (FMs) and the ability to privately customize the FMs with your data?

A : Amazon Q Developer

B : Amazon Q in QuickSight

C : AWS Inferentia

D : Amazon Bedrock

Answer: D

Page: 1 / 148

Total 737 Questions | Updated On: Mar 13, 2026

Add To Cart