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.
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Main Prerequisites
Before you decide to take the Microsoft AI-100 exam, it is important that you understand all the knowledge requirements for this test. The exam is not designed for the general public, so you need to possess certain competence before attempting it. The target candidates for this certification test should have the following skills:
- Familiarity with data storage in Azure, Azure Cognitive Search, Microsoft Azure Cognitive Services, and Azure Bot Service.
- Understanding when a custom API should be developed to satisfy certain business requirements.
- Expertise in implementing and designing AI applications and agents that utilize Microsoft Azure Cognitive Services.
- Ability to put forward solutions that utilize open source technologies with understanding the elements that make up the Azure AI portfolio along with the available data storage options.
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Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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Microsoft AI-100日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Knowledge Mining and Search Solutions | - Azure Cognitive Search
|
| Topic 2: Design AI Solutions on Azure | - Design conversational AI solutions
|
| Topic 3: Implement Computer Vision Solutions | - Image analysis and processing
|
| Topic 4: Implement Natural Language Processing (NLP) | - Text analytics solutions
|
| Topic 5: Responsible AI and Monitoring | - AI ethics and governance
|



