Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) - AI-100日本語

Microsoft AI-100日本語 test insides dumps
  • Exam Code: AI-100J
  • Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)
  • Updated: Jul 24, 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

How much AI-100 Exam Cost

The price of the AI-100 exam is $165 USD.

Key Details

Any individual who is planning to pass the Microsoft AI-100 exam should understand its details. The first thing that you need to know about this test is that the students will be given 180 minutes to answer 62 questions. This certification exam consists of various types of questions, including multiple choice, scenario-based, correct sequence, and drag and drop, among others. To complete the test, the applicants should get a minimum score of 700 or more on a scale of 100-1000. The exam is available in various languages, such as Korean, Simplified Chinese, Japanese, and English. To schedule it, you will have to pay $165 as a registration fee.

It is very important that you know the retake policy for the Microsoft exams because there is a high chance that you will need it. You will only have a total of five attempts to pass the test in a single year. If you fail the first time, you will have to wait 24 hours before you can retake the exam. But if you fail the test during your second attempt, you will wait for 14 days before you can have the third, fourth, and fifth attempts. As far as canceling or rescheduling the exam is concerned, it is crucial to do so at least 24 hours prior to the test otherwise you will forfeit your fee.

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Skills measured
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)
  • Analyze solution requirements (25-30%)
Microsoft AI-100日本語 Exam Syllabus Topics:
SectionObjectives
Topic 1: Implement Natural Language Processing (NLP)- Text analytics solutions
  • 1. Sentiment analysis
    • 2. Key phrase extraction
      - Language understanding solutions
      • 1. Intent recognition
        • 2. Entity extraction
          Topic 2: Implement Computer Vision Solutions- Image analysis and processing
          • 1. Custom Vision training and deployment
            • 2. Computer Vision API usage
              Topic 3: Responsible AI and Monitoring- AI ethics and governance
              • 1. Model monitoring and evaluation
                • 2. Responsible AI principles
                  Topic 4: Implement Knowledge Mining and Search Solutions- Azure Cognitive Search
                  • 1. Skillsets and enrichment pipeline
                    • 2. Indexing and querying data
                      Topic 5: Design AI Solutions on Azure- Design conversational AI solutions
                      • 1. Language understanding (LUIS concepts)
                        • 2. Azure Bot Service architecture
                          - Select appropriate Azure AI services
                          • 1. Azure Machine Learning integration
                            • 2. Azure Cognitive Services selection
                              • 3. Knowledge mining solutions

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