AI-102 Practice Exam - Azure AI Engineer Certification Prep
AI-102 validates your ability to design and implement AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure AI. As enterprises integrate AI into their products and workflows, certified AI engineers command premium salaries.
Who should take AI-102
Developers building AI-powered applications, data scientists deploying models to production, solution architects designing AI systems, and ML engineers working with Azure Machine Learning.
What AI-102 covers
- Computer Vision
- Natural Language Processing
- Knowledge Mining
- Conversational AI
- Responsible AI
Study tips for AI-102
- Build hands-on projects with Azure Cognitive Services APIs (Vision, Language, Speech)
- Know Azure Bot Framework SDK and Bot Service deployment patterns
- Understand Azure Search with AI enrichment skills and knowledge stores
- Practice implementing custom models with Azure Machine Learning endpoints
AI-102 question bank
AzurePrep includes 520 AI-102 practice questions written to the published Microsoft skills outline. Questions span the full exam domain, not a recycled dump. Every question includes a detailed explanation and documentation reference so you understand why each answer is correct.
Frequently asked questions
How many questions are in the AI-102 practice exam?
The AI-102 practice exam covers Azure AI services, cognitive services, machine learning solutions, and responsible AI implementation. The current question count is shown on the AI-102 landing page.
What is the difference between AI-900 and AI-102?
AI-900 is a fundamentals exam covering AI concepts, while AI-102 is an advanced associate-level certification requiring hands-on development experience with Azure AI services, SDKs, and REST APIs.
What programming skills are needed for AI-102?
AI-102 requires proficiency in either C# or Python, experience with REST APIs and SDKs, and familiarity with Azure Cognitive Services, Azure Machine Learning, and Bot Framework.