Microsoft Azure (AI-900) Fundamentals Practice Exam - 2024
- IT & Software
- Nov 29, 2024

Microsoft Azure (AI-900) Fundamentals Practice Exam : 2024, available at $44.99, 5 quizzes, and has 1 subscribers.
You will learn about Updated and unique Questions Suitable for all Level Prepare the Exam Anyone planning to take the Microsoft Azure (AI-900) Fundamentals Exam This course is ideal for individuals who are Updated and unique Questions or Suitable for all Level or Prepare the Exam or Anyone planning to take the Microsoft Azure (AI-900) Fundamentals Exam or Have a fundamental understanding of the Microsoft Azure (AI-900) Fundamentals Certification. or You will be confident enough to take the Microsoft Azure (AI-900) Fundamentals Certification exam and pass the exam at First attempt. It is particularly useful for Updated and unique Questions or Suitable for all Level or Prepare the Exam or Anyone planning to take the Microsoft Azure (AI-900) Fundamentals Exam or Have a fundamental understanding of the Microsoft Azure (AI-900) Fundamentals Certification. or You will be confident enough to take the Microsoft Azure (AI-900) Fundamentals Certification exam and pass the exam at First attempt.
Enroll now: Microsoft Azure (AI-900) Fundamentals Practice Exam : 2024
Summary
Title: Microsoft Azure (AI-900) Fundamentals Practice Exam : 2024
Price: $44.99
Number of Quizzes: 5
Number of Published Quizzes: 5
Number of Curriculum Items: 5
Number of Published Curriculum Objects: 5
Number of Practice Tests: 5
Number of Published Practice Tests: 5
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.
This exam measures your ability to accomplish the following technical tasks: manage Azure identities and governance; implement and manage storage; deploy and manage Azure compute resources; configure and manage virtual networking; and monitor and back up Azure resources.
You won’t be hoping you are ready, you will know you are ready to sit for and pass the exam. After practicing these tests and scoring an 80% or higher on them, you will be ready to PASS on the first attempt and avoid costly re-schedule fees, saving you time and money.
This Practice course gain access to expert instruction, hands-on practice, and insights into AI in Microsoft Azure. It opens doors to the powerful world of AI with Azure’s comprehensive suite of services. Beyond technical skills, this course will guide you on how to implement AI solutions ethically and responsibly, ensuring that your AI initiatives align with industry best practices
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 (20–25%)
Describe fundamental principles of machine learning on Azure (25–30%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
#) Describe Artificial Intelligence workloads and considerations (20–25%)
Identify features of common AI workloads
Identify features of anomaly detection workloads
Identify computer vision workloads
Identify natural language processing workloads
Identify knowledge mining 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 (25–30%)
Identify common machine learning types
Identify regression machine learning scenarios
Identify classification machine learning scenarios
Identify clustering machine learning scenarios
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 capabilities of visual tools in Azure Machine Learning Studio
Automated machine learning
Azure Machine Learning designer
#) 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
Identify capabilities of the Computer Vision service
Identify capabilities of the Custom Vision service
Identify capabilities of the Face service
Identify capabilities of the Form Recognizer service
#) Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
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
Identify capabilities of the Language service
Identify capabilities of the Speech service
Identify capabilities of the Translator service
Identify considerations for conversational AI solutions on Azure
Identify features and uses for bots
Identify capabilities of Power Virtual Agents and the Azure Bot service
Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; and features of Natural Language Processing (NLP) workloads on Azure.
Course Curriculum
Instructors

Mahamuda Akter
Instructor at Udemy
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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