Skills measured
- Implement and monitor AI solutions (25-30%)
- Analyze solution requirements (25-30%)
- Design AI solutions (40-45%)
Exam AI-100: Designing and Implementing an Azure AI Solution
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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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:
- Evaluating Text with Azure Cognitive Language Services
- Processing and Translating Speech with Azure Cognitive Speech Services
- Processing and Classifying Images with Azure Cognitive Vision 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.
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 | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze Solution Requirements | 25-30% | - Identify business and technical requirements - Evaluate data storage and processing options - Define solution performance and scalability criteria - Assess security, compliance, and governance needs |
| Topic 2: Design AI Solutions | 40-45% | - Design conversational AI and bot solutions - Integrate open-source and custom AI components - Select appropriate Azure Cognitive Services - Design natural language processing solutions - Design computer vision solutions - Design knowledge mining and search solutions |
| Topic 3: Implement and Monitor AI Solutions | 25-30% | - Monitor performance, usage, and health - Maintain and update AI solutions - Configure security and access controls - Deploy AI solutions to Azure infrastructure - Integrate AI models and services into applications |
