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

  • 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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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.

Certification Path

The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.

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

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

THIS EXAM RETIRED ON JUNE 30, 2021. A replacement exam, AI-102, is available. For more information, visit the AI-102 exam details page.

Candidates for this exam should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.

Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.

A candidate for this exam should have knowledge and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. In addition, a candidate should be able to recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements.

Part of the requirements for: none

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The benefit in Obtaining the AI-100 Exam Certification

  • Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
  • Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
  • Becoming Microsoft Certified Azure AI Engineer Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure AI Engineer Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
  • After completion of Microsoft Certified Azure AI Engineer Associate Candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
  • When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure AI Engineer Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.

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Microsoft AI-100日本語 Exam Syllabus Topics:

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

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