Designing and Implementing a Microsoft Azure AI Solution
AI-102
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Real Questions
1
Plan and manage an Azure AI solution 22.5%
1.1
Select the appropriate Azure AI Foundry services
4 subtopics1.1.1Select the appropriate service for a generative AI solution
1.1.2Select the appropriate service for a computer vision solution
1.1.3Select the appropriate service for NLP and speech solutions
1.1.4Select services for knowledge mining
Learning Objectives
- Select the appropriate Azure AI Foundry service based on solution requirements
- Understand service capabilities and limitations
- Match business requirements to technical solutions
1.2
Plan, create and deploy an Azure AI Foundry service
2 subtopics1.2.1Plan for Responsible AI principles
1.2.2Create and deploy Azure AI resources
Learning Objectives
- Create and configure Azure AI resources
- Deploy models using appropriate methods
- Integrate AI services into applications
1.3
Manage, monitor, and secure an Azure AI Foundry Service
2 subtopics1.3.1Monitor and manage AI resources
1.3.2Secure AI solutions
Learning Objectives
- Monitor AI solution performance and costs
- Implement security best practices
- Manage authentication and authorization
1.4
Implement AI solutions responsibly
1 subtopics1.4.1Content moderation and safety
Learning Objectives
- Implement content moderation solutions
- Configure responsible AI insights
- Design governance frameworks
Domain Hands-on Skills
Creating Azure AI resources via portal and CLIConfiguring authentication and authorizationSetting up monitoring and alertsImplementing content safety measures
Common Mistakes to Avoid
- Not considering responsible AI principles early in design
- Overlooking cost optimization opportunities
- Inadequate security configuration
- Not implementing proper monitoring
2
Implement generative AI solutions 17.5%
3
Implement an agentic solution 7.5%
4
Implement computer vision solutions 12.5%
5
Implement natural language processing solutions 17.5%
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