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[NEW] AI-900: Microsoft Azure AI Fundamentals exam practice Coupon
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[-0% Off] [NEW] AI-900: Microsoft Azure AI Fundamentals exam practice Course Coupon

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AI-900 Exam: Microsoft Azure AI Fundamentals

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Description

Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.


Exam Format and Information

Exam Name Exam AI-900: Microsoft Azure AI Fundamentals

Exam Duration 60 Minutes

Exam Type Multiple Choice Examination

Number of Questions 40 - 60 Questions

Exam Fee $99


The AI-900 exam covers the following topics:

  • Describe AI workloads and considerations (15-20%)

  • Describe fundamental principles of machine learning on Azure (30-35%)

  • Describe features of computer vision workloads on Azure (15-20%)

  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)

  • Describe features of conversational AI workloads on Azure (15-20%)

1: Describing AI workloads and considerations

The subtopics in this domain include


  • Identification of guiding principles for responsible AI

  • Identification of features in common AI workloads

2: Describing fundamental principles of machine learning on Azure

The subtopics in this domain include,

  • Identification of common machine learning variants

  • Identification of core risks in the creation of a machine learning solution

  • Description of capabilities of no-code machine learning with Azure Machine Learning

  • Description of core machine learning concepts

3: Description of features in computer vision workloads on Azure

The subtopics in this domain include,

  • Identification of common types of computer vision solutions

  • Identification of Azure tools and services for computer vision tasks

4: Describing features of Natural Language Processing (NLP) workloads on Azure

The subtopics in this domain are as follows


  • Identifying Azure tools and services for NLP workloads

  • Identification of features in common NLP workload scenarios

5: Description of features of conversational AI workloads on Azure

The subtopics in this domain include,

  • Identifying Azure services for conversational AI

  • Identification of common use cases for conversational AI

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