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The Microsoft AI-900-KR exam covers a range of topics, including AI workloads and considerations, fundamental concepts of machine learning, data science processes, and Azure AI services. Candidates will be tested on their ability to identify Azure AI services, understand their features and benefits, and know how to use them to solve business problems. AI-900-KR exam also includes questions on the ethical and legal considerations involved in AI and ML, such as privacy, transparency, and accountability.

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Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals certification exam, is a great way to demonstrate your proficiency in artificial intelligence (AI) and its applications in the cloud. AI-900-KR exam is designed for individuals who are interested in pursuing a career in AI or want to showcase their knowledge in this field. AI-900-KR exam covers a wide range of topics related to AI, machine learning, and natural language processing.

The Microsoft AI-900 exam will measure the candidates’ skills and competence in a range of topics. They are as follows:

• Explain AI Workloads & Considerations (15-20%): This section will measure the individuals’ ability to identify different features of common artificial intelligence workloads. It will also evaluate their competence in identifying the guiding principles that are responsible for AI.
• Explain the Fundamental Principles of ML on Azure (30-35%): The potential candidates for the Microsoft AI-900 exam should be able to identify the common types of machine learning and explain its core concepts. They also need to know how to identify the core tasks that are involved in creating the ML solutions. Additionally, they need to have the knowledge of the capabilities of no-code ML with Azure ML studio.
• Explain the Features of Conversational Artificial Intelligence Workloads Available on Azure (15-20%): The applicants must demonstrate the understanding of common use cases associated with conversational artificial intelligence. This area also measures one’s knowledge of Azure services associated with conversational artificial intelligence.
• Explain the Features of Computer Vision Workloads Available on Azure (15-20%): This domain requires that the test takers demonstrate competence in identifying the basic categories of computer vision solutions. It will also measure their skills in identifying different Azure services and tools for computer vision tasks. You will also need an understanding of the capabilities of Computer Vision service, Custom Vision service, Face service, and Form Recognizer service.
• Explain the Features of NLP (Natural Language Processing) Workloads Available on Azure (15-20%): This subject area will measure your ability to identify the features of basic Natural Language Processing Workload scenarios. It will also test your skills in identifying different Azure services and tools for NLP workloads. The topic will cover the understanding of the capabilities of Text Analytics service, Language Understanding service, Speech service, and Translator Text service.

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