Microsoft Designing and Implementing an Azure AI Solution : AI-100 Exam

  • Exam Code: AI-100
  • Exam Name: Designing and Implementing an Azure AI Solution
  • Updated: Jul 23, 2026
  • Q & A: 163 Questions and Answers

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Skills Measured

There are various topics that you will need to study to achieve success in the Microsoft AI-100 exam. All the domains included in this certification tests are as follows:

The first subject area that you will have to master is called Analyzing Solution Requirements. It makes up 25-30% of the exam content and consists of the following subdomains: recommending Azure Cognitive Services APIs to satisfy business requirements; mapping security requirements to tools, technologies, as well as processes; selecting the software, services, and storage necessary for supporting a solution.

The next section that you have to study is Designing an AI Solution that constitutes about 40-45% of the exam questions. It revolves around the subtopics, such as designing solutions that comprise one or more pipelines; designing solutions that utilize Cognitive Services; designing solutions that implement the Microsoft Bot Framework; designing the compute infrastructure to support a solution; designing for data governance, compliance, integrity, as well as security.

The last domain included in the Microsoft AI-100 exam is titled Implementing & Monitoring AI Solutions. It makes up the remaining 25-30% of the whole content. The subtopics covered here are the following: implementing an AI workflow; integrating AI services & solution elements; monitoring and assessing the AI environment.

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

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AI-100 Exam Reference

Microsoft AI-100 Exam Syllabus Topics:

SectionWeightObjectives
Analyze Solution Requirements25-30%- Define solution performance and scalability criteria
- Evaluate data storage and processing options
- Identify business and technical requirements
- Assess security, compliance, and governance needs
Design AI Solutions40-45%- Design conversational AI and bot solutions
- Integrate open-source and custom AI components
- Design knowledge mining and search solutions
- Design computer vision solutions
- Select appropriate Azure Cognitive Services
- Design natural language processing solutions
Implement and Monitor AI Solutions25-30%- Configure security and access controls
- Maintain and update AI solutions
- Monitor performance, usage, and health
- Integrate AI models and services into applications
- Deploy AI solutions to Azure infrastructure

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