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  • Exam Code: AI-100J
  • Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)
  • Last Updated: Jul 31, 2026
  • Q & A: 163 Questions and Answers
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  • Exam Code: AI-100J
  • Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)
  • Last Updated: Jul 31, 2026
  • Q & A: 163 Questions and Answers
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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

Download exam skills outline

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

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The benefit in Obtaining the AI-100 Exam Certification

  • 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.
  • 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.
  • 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.
  • 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.

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
  • Processing and Classifying Images with Azure Cognitive Vision Services
  • Evaluating Text with Azure Cognitive Language 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.

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Certification Path

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

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Microsoft AI-100日本語 Exam Syllabus Topics:

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

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