Microsoft - AI-102 Certification Exam Details, Questions and Answers
Certification Provider
MicrosoftExam
AI-102: Designing and Implementing a Microsoft Azure AI SolutionNumber of questions (in our database)
162Updated on
22 March 2024Topics
AI-102: Designing and Implementing a Microsoft Azure AI Solution Certification Exam
This certification exam is from Microsoft and focuses on designing and implementing AI solutions in Azure. The AI-102: Designing and Implementing an Azure AI Solution certification exam measures and validates the technical skills and knowledge required to accomplish technical tasks related to AI and Machine Learning.
Importance of the AI-102 Exam
This certification holds a significant value in the IT industry. It is especially beneficial for professionals who are seeking a role related to AI and Machine Learning. By passing this exam, it validates that you have the necessary skills to effectively design and implement AI solutions using Azure services.
Technical Details of the AI-102 Exam
The AI-102 exam is designed to measure specific technical skills. Candidates must demonstrate their ability to design and implement AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure.
Measured Skills
- Plan and manage an Azure Cognitive Services solution
- Implement Computer Vision solutions
- Implement natural language processing solutions
- Implement knowledge mining solutions
- Implement conversational AI solutions
Preparation for the AI-102 Exam
It is recommended to have a good understanding of AI workloads and Microsoft Azure services before taking this exam. Resources for preparation include Microsoft Learn and the Microsoft Learning Path for AI-102 exam. Hands-on experience in implementing AI solutions in Azure will greatly enhance your ability to pass the exam.
Exam Topics
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Interacting with AI (10% - 15%)
- Develop natural language processing solutions
- Develop computer vision solutions
- Develop conversational AI solutions
- Develop knowledge mining solutions
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Deploying and Managing AI Solutions (15% - 25%)
- Deploying AI models
- Managing AI models
- Managing AI solutions
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Implementing AI Solutions (35% - 45%)
- Developing AI models
- Integrating AI models into applications
- Monitoring and troubleshooting AI solutions
- Implementing responsible AI solutions
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Designing AI Solutions (20% - 30%)
- Identifying AI solution requirements
- Designing AI models
- Designing AI pipelines
- Designing AI solutions for responsible AI
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Designing AI Solutions (15% - 20%)
- Evaluate text for content and sentiment
- Evaluate images and video for content
- Evaluate audio for content
- Recommend an appropriate solution based on requirements
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Implementing AI Solutions (20% - 25%)
- Develop AI models
- Implement AI models
- Monitor and optimize AI models
- Integrate AI models into solutions
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Deploying and Managing AI Solutions (15% - 20%)
- Create and manage AI environments
- Manage AI models
- Deploy AI models
- Monitor and optimize AI solutions
Common AI-102 Exam Questions
How to complete the URI for building the REST endpoint to create multilingual product descriptions?
What are the three actions to perform in the Custom Vision portal to minimize model retraining time?
What is the recommended method for uploading speech samples to a Speech Studio project?
How to design the skillset to include the contents of PDFs in searches?
How to convert streaming MP3 data to text using the Speech SDK in your solution?