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Microsoft Azure AI Engineer Associate AI-100J

AI-100J

Exam Code: AI-100J

Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)

Updated: Sep 06, 2026

Q & A: 163 Questions and Answers

AI-100J Free Demo download:

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IT-Tests AI-100日本語 Exam Features

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.

Career Path

Passing the Microsoft AI-100 exam and obtaining the corresponding certification will prove to be of great help in advancing your career. After successfully completing this test, you will get loads of career proposals. It will be easier for you to get a decent job and earn a much higher salary. Here are some of the positions you can apply for:

  • AI Engineer
  • AI Strategy Architect
  • Customer Engineer

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:

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

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

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Designing and Implementing an Azure AI Solution AI-100 Exam

Designing and Implementing an Azure AI Solution AI-100 Exam which is related to Microsoft Azure AI Solution and credits toward Microsoft Certified Azure AI Engineer Associate certifications. This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio. Candidate must have a strong understanding of basic statistics, data ethics, data privacy, various aspects of the Microsoft Azure AI portfolio, related open source frameworks and technologies, and available data storage options. This exam verifies the Candidates have the ability to use their knowledge of cost models, capacity, and best practices to architect and implement Artificial Intelligence (AI) Solution using Microsoft Azure.

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Microsoft AI-100日本語 Exam Syllabus Topics:

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

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