Exam AI-900: Microsoft Azure AI Fundamentals Practice Tests

AI-900: Microsoft Azure AI Fundamentals Comprehensive is a cutting-edge course designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) within the Microsoft Azure platform. This course is ideal for professionals looking to enhance their knowledge and skills in AI technology, as well as for beginners who are interested in exploring the world of AI.

One of the key features of this course is the Practice Exam, which allows students to test their knowledge and skills before taking the official exam. This feature provides a valuable opportunity for students to assess their understanding of the material and identify areas for improvement. The Practice Exam is designed to simulate the format and difficulty level of the official exam, giving students a realistic preview of what to expect on exam day.

In addition to this Practice Exam, this course offers a comprehensive overview of AI concepts and principles, with a focus on how they are applied within the Microsoft Azure platform. Students will learn about key AI technologies such as machine learning, natural language processing, computer vision, and more. They will also gain hands-on experience with Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.

Throughout the course, students will have the opportunity to engage with interactive learning materials, including videos, quizzes, and hands-on labs. These materials are designed to help students reinforce their understanding of AI concepts and apply them in real-world scenarios. Students will also have access to a dedicated instructor who can provide guidance and support as they progress through the course.

By the end of the course, students will have a solid foundation in AI technology and its applications within the Microsoft Azure platform. They will be well-prepared to take the official AI-900 exam and earn their certification as a Microsoft Azure AI Fundamentals professional.

AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.

AI-900 : Microsoft Azure AI Fundamentals Exam details :

• Exam Name: Microsoft Certified - Azure AI Fundamentals

• Exam Code: AI-900

• Exam Price: $99 (USD)

• Number of Questions: Maximum of 40-60 questions,

• Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,

• Length of Test: 60 Minutes. The exam is available in English and Japanese languages.

• Passing Score: 700 / 1000

• Languages : English, Japanese, Korean, and Simplified Chinese

• Schedule Exam : Pearson VUE

AI-900 : Microsoft Azure AI Fundamentals Certification Exams skill questions:

Skill Measurement Exam Topics:-

• Describe Artificial Intelligence workloads and considerations (15–20%)

• Describe fundamental principles of machine learning on Azure (20–25%)

• 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 generative AI workloads on Azure (15–20%)

Describe Artificial Intelligence workloads and considerations (15–20%)

Identify features of common AI workloads

• Identify features of content moderation and personalization workloads

• Identify computer vision workloads

• Identify natural language processing workloads

• Identify knowledge mining workloads

• Identify document intelligence workloads

• Identify features of generative AI workloads

Identify guiding principles for responsible AI

• Describe considerations for fairness in an AI solution

• Describe considerations for reliability and safety in an AI solution

• Describe considerations for privacy and security in an AI solution

• Describe considerations for inclusiveness in an AI solution

• Describe considerations for transparency in an AI solution

• Describe considerations for accountability in an AI solution

Describe fundamental principles of machine learning on Azure (20–25%)

Identify common machine learning techniques

• Identify regression machine learning scenarios

• Identify classification machine learning scenarios

• Identify clustering machine learning scenarios

• Identify features of deep learning techniques

Describe core machine learning concepts

• Identify features and labels in a dataset for machine learning

• Describe how training and validation datasets are used in machine learning

Describe Azure Machine Learning capabilities

• Describe capabilities of automated machine learning

• Describe data and compute services for data science and machine learning

• Describe model management and deployment capabilities in Azure Machine Learning

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

Identify common types of computer vision solution

• Identify features of image classification solutions

• Identify features of object detection solutions

• Identify features of optical character recognition solutions

• Identify features of facial detection and facial analysis solutions

Identify Azure tools and services for computer vision tasks

• Describe capabilities of the Azure AI Vision service

• Describe capabilities of the Azure AI Face detection service

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

Identify features of common NLP Workload Scenarios

• Identify features and uses for key phrase extraction

• Identify features and uses for entity recognition

• Identify features and uses for sentiment analysis

• Identify features and uses for language modeling

• Identify features and uses for speech recognition and synthesis

• Identify features and uses for translation

Identify Azure tools and services for NLP workloads

• Describe capabilities of the Azure AI Language service

• Describe capabilities of the Azure AI Speech service

Describe features of generative AI workloads on Azure (15–20%)

Identify features of generative AI solutions

• Identify features of generative AI models

• Identify common scenarios for generative AI

• Identify responsible AI considerations for generative AI

Identify capabilities of Azure OpenAI Service

• Describe natural language generation capabilities of Azure OpenAI Service

• Describe code generation capabilities of Azure OpenAI Service

• Describe image generation capabilities of Azure OpenAI Service

  
  

In conclusion, AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.