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The AI-900 exam covers a wide range of topics related to AI and ML, including the basics of data science, machine learning, natural language processing, computer vision, and more. Candidates will be tested on their understanding of various Azure AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service, and their ability to implement these services to develop intelligent solutions.

Describe the Basic Principles of ML on Microsoft Azure (30-35%)

As for this area, it includes the following:

• Identify the major tasks in crafting an ML solution – This subject area measures the students’ competence in explaining some concepts, such as basic features of data preparation and ingestion, model management and deployment, model training & evaluation, and feature selection and engineering.
• Describe the ML core concepts – You should be able to identify the labels and features within a dataset for ML and describe the usage of validation datasets and training in ML. The applicants also need the ability to explain the usage of ML algorithms in model training, as well as interpret and choose the model evaluation yardsticks for regression and classification.
• Identify the basic ML types – This section equips the learners with the ability to identify various concepts, such as regression, clustering, and classification ML scenarios.
• Explain the abilities of the No-code ML with Azure ML Learning Studio – This domain equips the individuals with the knowledge of the Azure ML designer and automated ML UI.

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

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The Microsoft Azure AI Fundamentals (AI-900日本語版) certification exam is an excellent starting point for individuals who are interested in pursuing a career in AI and ML. It will help them gain a fundamental understanding of the core concepts and principles of AI and ML, as well as develop the necessary skills to work with Azure's AI and ML services. AI-900J exam is also suitable for professionals who work in IT, data science, and other related fields, as it will help them broaden their knowledge and skill set in AI and ML.

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