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Questions asked with the most recent update of official exam references.
Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.
This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
About the Exam:
Candidates for this exam should have a basic understanding of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
This exam is an opportunity to demonstrate common knowledge about machine learning and artificial intelligence workloads and how to implement them in Azure.
This exam is designed for candidates with both technical and non-technical training. Experience in data science and software engineering is not required, however some general knowledge or experience in programming is recommended.
Azure IA Fundamentals can be used as enablement for other Azure role-based certifications such as Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.
How about you prepare with AI-900 practice tests with the latest reference.
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Describe AI workloads and considerations
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Describe fundamental principles of machine learning on Azure
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Describe features of computer vision workloads on Azure
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Describe features of Natural Language Processing (NLP) workloads on Azure
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Describe features of conversational AI workloads on Azure
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