[NEW] AI-900: Microsoft Azure AI Fundamentals exam practice

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