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: Sep 25, 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

A company is deploying a generative AI model on Amazon Bedrock and needs to reduce the cost of usage while using prompt examples of up to 10 sample tasks as part of each input.Which approach would be the most effective in minimizing the costs associated with model usage?

A : The company should reduce the temperature inference parameter for the model

B : The company should reduce the number of tokens in the input

C : The company should reduce the top-P inference parameter for the model

D : The company should reduce the batch size while training the model

Answer: B

Question 3

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 Bedrock

B : Amazon Q in QuickSight

C : AWS Inferentia

D : Amazon Q Developer

Answer: A

Question 4

A company is building an ML model to analyze archived data. The company must perform inference on large

datasets that are multiple GBs in size. The company does not need to access the model predictions

immediately.

Which Amazon SageMaker inference option will meet these requirements?

A : Batch transform

B : Real-time inference

C : Serverless inference

D : Asynchronous inference

Answer: A

Question 5

Which of the following summarizes the differences between Guardrails for Amazon Bedrock and watermark detection for Amazon Bedrock?

A : Watermark detection helps control the interaction between users and FMs by filtering undesirable and harmful content, whereas, Guardrails identifies if an image was created by the Amazon Titan Image Generator model on Bedrock

B : Guardrails helps control the interaction between users and FMs by filtering undesirable and harmful content, whereas, watermark detection identifies if an image was created by the Amazon Titan Image Generator model on Bedrock

C : Both Guardrails and watermark detection help identify if an image was created by the Amazon Titan Image Generator model on Bedrock

D : Both Guardrails and watermark detection help control the interaction between users and FMs by filtering undesirable and harmful content

Answer: B

Page: 1 / 148

Total 737 Questions | Updated On: Sep 25, 2026

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