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Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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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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| Section | Weight | Objectives |
|---|---|---|
| Implement and Monitor AI Solutions | 25-30% | - Configure security and access controls - Maintain and update AI solutions - Deploy AI solutions to Azure infrastructure - Monitor performance, usage, and health - Integrate AI models and services into applications |
| Analyze Solution Requirements | 25-30% | - Define solution performance and scalability criteria - Identify business and technical requirements - Assess security, compliance, and governance needs - Evaluate data storage and processing options |
| Design AI Solutions | 40-45% | - Design knowledge mining and search solutions - Design conversational AI and bot solutions - Design natural language processing solutions - Select appropriate Azure Cognitive Services - Design computer vision solutions - Integrate open-source and custom AI components |
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