Amazon AIF-C01 Exam Questions - Navigate Your Path to Success

The Amazon AWS Certified AI Practitioner (AIF-C01) exam is a good choice for AWS AI/ML Solution Developers AWS Solution Architects and if the candidate manages to pass Amazon AWS Certified AI Practitioner exam, he/she will earn Amazon Foundational Certification. Below are some essential facts for Amazon AIF-C01 exam candidates:

In actual Amazon AWS Certified AI Practitioner (AIF-C01) exam, a candidate can expect 65 Questions and the officially allowed time is expected to be around 90 Minutes.
TrendyCerts offers 96 Questions that are based on actual Amazon AIF-C01 syllabus.
Our Amazon AIF-C01 Exam Practice Questions were last updated on: Feb 27, 2025

Sample Questions for Amazon AIF-C01 Exam Preparation

Question 1

A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.

Which solution meets these requirements?

AUse Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.

BConfigure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.

CUse Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.

DImplement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

Correct : C

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Question 2

An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.

Which solution meets these requirements with the LEAST implementation effort?

AFine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

BAdd a role description to the prompt context that instructs the model of the age range that the response should target.

CUse chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.

DSummarize the response text depending on the age of the user so that younger users receive shorter responses.

Correct : B