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- Questions: 276 Q&A's With Detailed Explanation
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- Exam Name: Microsoft Azure AI Fundamentals
- Last Update: 02-Nov-2024
- Questions and Answers: 276
- Single Choice: 110 Q&A's
- Multiple Choice: 27 Q&A's
- Hotspot: 107 Q&A's
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Microsoft AI-900 Exam Dumps FAQs
The Microsoft AI-900 exam assesses your foundational knowledge of artificial intelligence (AI) concepts and how Microsoft Azure cloud services support AI workloads. It covers core machine learning principles, computer vision, natural language processing, responsible AI practices, and deployment considerations for AI solutions on Azure.
There are no formal prerequisites. However, a basic understanding of technology concepts would be beneficial.
- Microsoft Learning Resources: Utilize Microsoft's crack4sure learning resources like the AI-900 exam guide, documentation, and Microsoft Learn modules ([invalid URL removed]).
- Practice with Azure Free Trial: Set up a free Azure trial account to explore Azure AI services and experiment with basic functionalities.
- Third-Party Resources: Consider reputable crack4sures or online courses offering practice tests and study materials aligned with the AI-900 exam objectives.
- Microsoft AI Fundamentals Exam Guide: The crack4sure guide outlines the exam objectives and provides a study roadmap ([invalid URL removed]).
- Microsoft Learn Modules: Access free learning modules on Microsoft Learn that cover topics relevant to the AI-900 exam content.
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The AI-900 exam is typically a computer-based exam lasting around 1 hour. It consists of multiple-choice and case study type questions.
Microsoft doesn't disclose the specific passing score. Focus on understanding the core concepts thoroughly and practicing with various learning resources.
Yes, practice tests can be a valuable tool. Look for reputable crack4sures or online learning platforms that offer practice tests aligned with the latest AI-900 exam content.
- Align with Exam Objectives: Ensure your understanding aligns with the core concepts outlined in the crack4sure exam guide.
- Focus on Core Concepts: Grasp the fundamental principles of machine learning, computer vision, and NLP relevant to AI on Azure.
- Understand Responsible AI: Be familiar with Microsoft's responsible AI principles and their application in developing and deploying AI solutions.
- Practice with Azure Services (Optional): If possible, experiment with basic functionalities of Azure Machine Learning or other relevant AI services through the free trial.
- Manage Your Time Effectively: Practice completing practice tests and sample questions within the allotted exam time.
Exam Content and Coverage:
The exam might assess your understanding of:
- Machine learning basics (supervised vs. unsupervised learning, algorithms)
- Training, evaluating, and deploying machine learning models
- Data considerations for machine learning projects on Azure
The exam might cover basic concepts of computer vision (image recognition) and NLP (text analysis) and how Azure services support these functionalities.
Yes, the exam emphasizes the importance of responsible AI development and deployment. You might encounter questions about
The exam might assess your understanding of:
- The purpose and core functionalities of Azure Machine Learning service
- Benefits of using Azure Machine Learning for training and deploying machine learning models
The exam might cover some of the readily available Azure Cognitive Services for functionalities like:
- Computer Vision for image analysis
- Text Analytics for analyzing text data
- These are just examples, and the specific services might change based on exam updates.