The Microsoft AI-900 exam has been created to cater to individuals who have little or no experience in AI or Azure, but are interested in developing a foundational understanding of the concepts. AI-900 exam focuses on providing a thorough understanding of the basics of AI and its applications in different industries, such as healthcare, finance, and retail.

To pass the AI-900 exam, candidates need to demonstrate their knowledge of AI fundamentals and their ability to apply AI concepts to real-world scenarios. AI-900 exam consists of 40-60 multiple-choice and multiple-response questions, and candidates have 60 minutes to complete the exam. Microsoft recommends that candidates have some experience with Azure services and a basic understanding of programming concepts before taking the exam.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

Microsoft AI-900 certification exam is designed to test your foundational knowledge of AI and machine learning concepts. AI-900 exam is ideal for professionals who are looking to explore the possibilities of AI and machine learning technology to drive business growth and innovation. Microsoft Azure AI Fundamentals certification exam is a great way to validate your skills and knowledge in this rapidly evolving field.

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Prerequisites

Microsoft AI-900 is a foundational-level certification exam. Therefore, the potential candidates are required to possess basic knowledge of the AI and ML concepts. They also need to have an understanding of the associated Microsoft Azure services. These individuals can have technical or non-technical backgrounds. They do not need to have software engineering or science experience before taking the test. However, some programming experience or knowledge would be an advantage for them.

The AI-900 exam is designed to validate the students’ knowledge of AI workloads & considerations, as well as attributes of computer vision workloads within Azure. It also certifies their understanding of the basic principles of ML on Azure and attributes of conversational Artificial Intelligence workloads on Azure. The applicants are also required to demonstrate their knowledge of the attributes of NLP (Natural Language Processing) workloads on Azure.

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