[2022] AI 900 – Azure AI Fundamentals Exam Practice Test NEW

What includes in this course?

• 6 full length Practice test, quizzes, etc.
• 318+ unique questions with explanations
• Full lifetime access
• Certificate of course completion
• 30-days Money-Back Guarantee

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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

Eligibility/Pre-requisite None

Exam validity 1 year

Exam Languages English, Japanese, Korean, and Simplified Chinese

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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%)

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Exam Topics in detail

Domain 1: Describing AI workloads and considerations

The subtopics in this domain include,

• Identification of features in common AI workloads
• Identification of guiding principles for responsible AI

Domain 2: Describing fundamental principles of machine learning on Azure

The subtopics in this domain include,

• Identification of common machine learning variants
• Description of core machine learning concepts
• Identification of core risks in the creation of a machine learning solution
• Description of capabilities of no-code machine learning with Azure Machine Learning

Domain 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

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

The subtopics in this domain are as follows,

• Identification of features in common NLP workload scenarios
• Identifying Azure tools and services for NLP workloads

Domain 5: Description of features of conversational AI workloads on Azure

The subtopics in this domain include,

• Identification of common use cases for conversational AI
• Identifying Azure services for conversational AI

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