The Microsoft AI-100 exam is divided into different sections, each focusing on a specific topic related to AI development. The first section of the exam focuses on data preparation, where candidates are tested on their understanding of data ingestion, transformation, and storage. The second section of the exam focuses on designing and implementing AI models, where candidates are tested on their ability to create and deploy various types of models, including deep learning models and cognitive services.

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The AI-100 exam covers a broad range of topics, including cognitive services, natural language processing, computer vision, and machine learning. Candidates are tested on their ability to identify the appropriate Azure services to use for a given scenario and design an AI solution that meets business requirements. They must also be able to implement the solution using Azure technologies and ensure that it meets performance, scalability, and security requirements.

Microsoft AI-100 certification exam is designed for professionals who are interested in designing and implementing AI solutions on the Azure platform. AI-100 exam is part of Microsoft’s Azure certification track, which focuses on providing professionals with the skills and knowledge they need to work with Azure. The AI-100 exam covers a broad range of topics, including the design and implementation of AI solutions, the use of Azure AI services, and the deployment and management of AI models.

Microsoft AI-100 Exam Syllabus Topics:

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx