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Microsoft AI-100

AI-100

Exam Code: AI-100

Exam Name: Designing and Implementing an Azure AI Solution

Updated: Jul 25, 2026

Q & A: 163 Questions and Answers

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About Microsoft AI-100 Exam

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AI-100 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our AI-100 exam dumps will include the following topics:

  • Analyze solution requirements 20-25%
  • Design solutions 30-35%
  • Deploy and manage solutions 20-25%
  • Integrate AI models into solutions 25-30%

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In order to ensure the quality of our AI-100 preparation materials, we specially invited experienced team of experts to write them. The content of our AI-100 practice engine comes from a careful analysis and summary of previous exam syllabus, so that you can accurately grasp the core test sites. In general, our AI-100 actual exam has covered all the knowledge that must be mastered in the exam. You just should take the time to study AI-100 preparation materials seriously, no need to refer to other materials, which can fully save your precious time. To keep up with the changes of the exam syllabus, our AI-100 practice engine are continually updated to ensure that they can serve you continuously.

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

Microsoft AI-100 Exam Syllabus Topics:

SectionWeightObjectives
Design AI Solutions40-45%- Design computer vision solutions
  • 1. Object detection solutions
  • 2. OCR and text extraction solutions
  • 3. Image classification solutions
- Design conversational AI solutions
  • 1. Bot architecture
  • 2. Knowledge integration
  • 3. Conversational workflows
- Design natural language processing solutions
  • 1. Translation solutions
  • 2. Text analytics solutions
  • 3. Language understanding solutions
Analyze Solution Requirements25-30%- Analyze AI workloads
  • 1. Determine data requirements
  • 2. Select appropriate Azure AI services
  • 3. Identify business requirements
Implement and Monitor AI Solutions25-30%- Monitor and optimize solutions
  • 1. Logging and diagnostics
  • 2. Model and service optimization
  • 3. Performance monitoring
- Implement AI services
  • 1. Integrate AI APIs and SDKs
  • 2. Configure security and authentication
  • 3. Deploy Azure Cognitive Services

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