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

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 2

What is a key difference between Amazon Bedrock and Amazon SageMaker JumpStart?

A : Amazon Bedrock provides foundational models for generative AI applications, whereas Amazon SageMaker JumpStart offers pre-built solutions and one-click deployment for various machine learning models

B : Amazon SageMaker JumpStart provides foundational models for generative AI applications, whereas Amazon Bedrock offers pre-built solutions and one-click deployment for various machine learning models

C : Amazon SageMaker JumpStart is designed for building and scaling machine learning models, whereas Amazon Bedrock is used for real-time data analytics

D : Amazon Bedrock is designed for building and scaling machine learning models, whereas Amazon SageMaker JumpStart is used for real-time data analytics

Answer: A

Question 3

Consider a scenario where a fully-managed AWS service needs to be used for automating the extraction of insights from legal briefs such as contracts and court records.What do you recommend?

A : Amazon Translate

B : Amazon Comprehend

C : Amazon Rekognition

D : Amazon Transcribe

Answer: B

Question 4

Which of the following services is specifically designed to provide insights into model predictions by explaining how input features contribute to the final output?

A : Amazon SageMaker Clarify

B : Amazon SageMaker Feature Store

C : Amazon SageMaker Model Monitor

D : Amazon SageMaker Canvas

Answer: A

Question 5

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assistcustomers with product inquiries, order tracking, and returns. The chatbot must be able to processtext inputs and image inputs to generate responses.Which AWS service meets these requirements?

A : Amazon Bedrock

B : Amazon Comprehend

C : Amazon Q

D : Amazon Rekognition

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Apr 02, 2026

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