Requirements
- No technical expertise or programming skills are required. A general understanding of cloud computing and business applications is helpful but not mandatory.
Target audiences
- Business professionals exploring AI applications
- Technical sales or pre-sales professionals
- Students or educators interested in AI basics
- Non-technical professionals curious about AI and Azure AI services
What is the Actual Exam Version?
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What is practice exam version?
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The AI-900 certification validates your foundational knowledge of AI and its implementation on Microsoft Azure. It’s designed for individuals with little to no experience in AI but a strong desire to explore how AI is transforming industries.
This is a non-technical certification, focusing on concepts rather than coding, making it accessible to a wide audience.
Exam Type: Multiple-choice and drag-and-drop questions
Exam Duration: 60 minutes
Number of Questions: 30–50 questions
Passing Score: 700 out of 1000
Languages Available: English, Japanese, Korean, German, Simplified Chinese, and more
Key Topics to Study:
AI workloads and considerations
Fundamental principles of machine learning on Azure
Features and capabilities of Azure AI services (e.g., Cognitive Services, Azure Bot Services)
Recommended Resources:
Microsoft Learn: Free learning paths for AI-900.
Azure Free Account: Experiment with Azure Cognitive Services.
Practice tests to familiarize yourself with the exam format.
Hands-On Learning:
Explore real-world AI applications using Azure tools.
Use Azure AI services like Face API, Speech API, and Text Analytics to solve practical problems.
Engage with the Community:
Join Microsoft Tech Community forums or LinkedIn groups for guidance and tips from other learners.
Industry Recognition:
Gain a globally recognized certification from Microsoft, a leader in AI innovation.
Career Opportunities:
Strengthen your resume for roles like Business Analyst, AI Specialist, or Technical Sales Consultant.
Foundation for Growth:
Build a solid base to pursue advanced certifications like AI-102 or Azure Data Scientist Associate.
Business Insights:
Learn how to align AI capabilities with business objectives, driving innovation and efficiency.
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