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Updated: Aug 04, 2026

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AI-100 Exam Reference

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

Preparation Process

If you are planning to take the Microsoft AI-100 exam, it is very important that you prepare for it thoroughly. It doesn’t matter if you have a lot of experience in the field because if you don’t study for this certification test, there is a big chance that you will not be able to pass it. To prepare for the AI-100 exam, the first thing that every candidate needs to do is visit the official website. Here you will find a plethora of reliable resources that will convey all the authentic information to you. On this online platform, you will also find a few free learning paths that will allow you to understand all the details of your Microsoft test. These paths are as follows:

  • Processing and Translating Speech with Azure Cognitive Speech Services
  • Evaluating Text with Azure Cognitive Language Services
  • Processing and Classifying Images with Azure Cognitive Vision Services
  • Creating Intelligent Bots with the Azure Bot Service

After that, you can also enroll for the paid instructor-led training course available on the official website. As the name suggests, it is taught by a certified expert who knows everything about the topic. It is recommended that the learners use this resource as it will give them a chance to interact with the instructor and ask questions whenever they face difficulties.

One of the last things that every student needs to do is look for the valid practice tests. The Internet is littered with this training tool, so it is advised that the individuals take at least several of those tests. In this way, you will learn a lot about the exam questions and improve your time management skills.

Microsoft AI-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing an Azure AI Solution
Exam Number:AI-100
Certificate Validity Period:Retired exam (replaced by AI-102)
Related Certifications:AI-102 Designing and Implementing an Azure AI Solution
Microsoft Certified: Azure AI Engineer Associate
Exam Duration:180 minutes
Passing Score:700 (out of 1000)
Exam Format:Multiple choice, Multiple response, Case studies, Drag and drop, Scenario-based questions
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish
Exam Price:USD 165 (may vary by region)
Recommended Training:Azure AI documentation
Microsoft Learn - Azure AI Engineer learning paths
Exam Registration:Pearson VUE Microsoft Exams
Microsoft Certification Exam Registration
Sample Questions:Microsoft AI-100 Sample Questions
Exam Way:Online proctored or test center (Pearson VUE)
Pre Condition:No formal prerequisites required, but experience with Azure AI services and basic machine learning concepts is recommended.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-100/

Skills measured

  • Analyze solution requirements (25-30%)
  • Implement and monitor AI solutions (25-30%)
  • Design AI solutions (40-45%)

Microsoft AI-100 Exam Syllabus Topics:

SectionObjectives
Topic 1: Design AI Solutions on Azure- Select appropriate Azure AI services
  • 1. Knowledge mining solutions
    • 2. Azure Cognitive Services selection
      • 3. Azure Machine Learning integration
        - Design conversational AI solutions
        • 1. Language understanding (LUIS concepts)
          • 2. Azure Bot Service architecture
            Topic 2: Responsible AI and Monitoring- AI ethics and governance
            • 1. Model monitoring and evaluation
              • 2. Responsible AI principles
                Topic 3: Implement Knowledge Mining and Search Solutions- Azure Cognitive Search
                • 1. Skillsets and enrichment pipeline
                  • 2. Indexing and querying data
                    Topic 4: Implement Natural Language Processing (NLP)- Text analytics solutions
                    • 1. Key phrase extraction
                      • 2. Sentiment analysis
                        - Language understanding solutions
                        • 1. Entity extraction
                          • 2. Intent recognition
                            Topic 5: Implement Computer Vision Solutions- Image analysis and processing
                            • 1. Custom Vision training and deployment
                              • 2. Computer Vision API usage

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                                Frequently Asked Questions

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