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: Mar 24, 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 uses foundation models (FMs) to automate daily tasks. An AI practitioner is creatingsystem instructions that include context relevant to the tasks. The AI practitioner wants to save andreuse the instructions in daily interactions with FMs in Amazon Bedrock.Which Amazon Bedrock solution will meet these requirements?

A : Knowledge Bases

B : Guardrails

C : Playgrounds

D : Prompt management

Answer: D

Question 3

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 4

You are a Large Language Model (LLM) developer at a company. The company wants to migrate to AWS Cloud. Which AWS services would you recommend for developing LLMs? (Select two)

A : AWS Inferentia

B : AWS Trainium

C : Amazon Bedrock

D : Amazon Q

E : Amazon SageMaker JumpStart

Answer: C,E

Question 5

A financial company is training a generative AI model to predict outcomes of loan applications. Thetraining dataset is small. The dataset categorizes loan applicants as "younger-aged," "middle-aged,"or "older-aged." Most individuals in the dataset are characterized as "middle-aged."The company removes the age range feature from the training dataset.Which model behavior will likely happen as a result of this change to the dataset?

A : The model will inaccurately predict outcomes for younger and older age groups.

B : The model will require less training data.

C : The model will predict accurate outcomes for only younger age groups.

D : The model will accurately predict outcomes for all ages.

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: Mar 24, 2026

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