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La meilleure préparation consiste à combiner l'étude théorique avec des examens blancs réalistes. QCM Excellence propose plus de 50 000 questions à jour pour AWS, Azure, PMP et plus.

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AWS Certified AI Practitioner (AIF-C01) Exam Guide

Q: Which AWS service provides access to multiple foundation models (FMs) through a single API?

Amazon Bedrock.. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies via an API.

Q: Which AWS service acts as a complete development environment for preparing, training, and deploying ML models?

Amazon SageMaker.. SageMaker provides all the necessary components for the full machine learning lifecycle in a single interface.

The **AWS AI Practitioner** certification is a new foundational credential validating an overall understanding of AI, Machine Learning, and Generative AI on AWS. It is ideal for non-technical professionals or those starting their journey in the AI field.

Which AWS service provides access to multiple foundation models (FMs) through a single API?

Answer : Amazon Bedrock.

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies via an API.

What is a 'Foundation Model'?

Answer : An AI model trained on vast datasets that can be adapted to a wide range of downstream tasks.

Foundation models serve as the base for many generative AI applications due to their massive pre-training.

In the context of responsible AI, what does 'bias' mean?

Answer : A systematic distortion in AI model outputs that favors or prejudices certain groups.

Bias can stem from non-representative training data and is a major challenge for AI ethics.

Which AWS service acts as a complete development environment for preparing, training, and deploying ML models?

Answer : Amazon SageMaker.

SageMaker provides all the necessary components for the full machine learning lifecycle in a single interface.

What is Reinforcement Learning?

Answer : A type of machine learning where an agent learns to make decisions by receiving rewards or punishments.

This is the method used by AWS DeepRacer to teach an autonomous car how to stay on the track.