Microsoft AI-900 Azure AI Fundamentals Certification Practice Exam is a highly beneficial product for individuals seeking to enhance their knowledge and skills in the field of artificial intelligence. This practice exam is designed to provide a comprehensive understanding of the fundamental concepts and principles of Azure AI, enabling individuals to prepare for the AI-900 certification exam with confidence.
The practice exam offers a range of benefits, including the opportunity to assess one's knowledge and identify areas for improvement. It provides a realistic simulation of the actual certification exam, allowing individuals to familiarize themselves with the format and structure of the test. Additionally, the practice exam offers detailed explanations and feedback on each question, enabling individuals to learn from their mistakes and improve their performance.
The Microsoft AI-900 Azure AI Fundamentals Certification Practice Exam is an excellent resource for individuals seeking to enhance their career prospects in the field of artificial intelligence. It is a valuable tool for professionals seeking to demonstrate their expertise in Azure AI, and for organizations seeking to validate the skills of their employees. With its comprehensive coverage of the fundamental concepts and principles of Azure AI, this practice exam is an essential resource for anyone seeking to excel in the field 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 (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
Overall, the Microsoft AI-900 Azure AI Fundamentals Certification Practice Exam is an essential resource for anyone seeking to obtain the Microsoft AI-900 Azure AI Fundamentals certification. It provides a comprehensive and rigorous assessment of the candidate's knowledge and skills in the field of AI, enabling them to demonstrate their expertise and enhance their career prospects in this rapidly growing field.