Most Recent Amazon AIF-C01 Exam Questions & Answers

Prepare for the Amazon AWS Certified AI Practitioner exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Amazon AIF-C01 exam and achieve success.

The questions for AIF-C01 were last updated on Dec 29, 2024.

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Question No. 1

An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.

What should the firm do when developing and deploying the LLM? (Select TWO.)

AInclude fairness metrics for model evaluation.

BAdjust the temperature parameter of the model.

CModify the training data to mitigate bias.

DAvoid overfitting on the training data.

EApply prompt engineering techniques.

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Correct Answer: A, C

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Question No. 2

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.

Which action must the company take to use the custom model through Amazon Bedrock?

APurchase Provisioned Throughput for the custom model.

BDeploy the custom model in an Amazon SageMaker endpoint for real-time inference.

CRegister the model with the Amazon SageMaker Model Registry.

DGrant access to the custom model in Amazon Bedrock.

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Correct Answer: B

Question No. 3

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.

Which consideration will inform the company's decision?

ATemperature

BContext window

CBatch size

DModel size

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Correct Answer: B

Question No. 4

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.

An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.

What should the AI practitioner include in the report to meet the transparency and explainability requirements?

ACode for model training

BPartial dependence plots (PDPs)

CSample data for training

DModel convergence tables

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Correct Answer: B

Question No. 5

A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.

Which solution will meet these requirements?

AImplement moderation APIs.

BRetrain the model with a general public dataset.

CPerform model validation.

DAutomate user feedback integration.

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Correct Answer: A

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