Plan and manage an Azure AI solution
25–30% - Choose Foundry services, models, retrieval methods, and integrations for generative AI and agents.
- Set up deployments, Azure infrastructure, and CI/CD for AI solutions.
- Manage quotas, security, monitoring, responsible AI, and agent governance.
Practice Plan & Manage Questions →
Implement generative AI and agentic solutions
30–35% - Build generative applications with Foundry, retrieval-augmented generation, SDKs, and connectors.
- Build agents with tools, retrieval, function calling, memory, and orchestration.
- Optimize and operationalize systems with prompts, evaluations, tracing, and safety signals.
Practice Generative AI & Agents Questions →
Implement computer vision solutions
10–15% - Build image and video generation, editing, and multimodal understanding workflows.
- Implement visual question answering, captions, accessibility descriptions, and content understanding.
- Apply responsible AI controls for multimodal content.
Practice Computer Vision Questions →
Implement text analysis solutions
10–15% - Extract entities, topics, summaries, sentiment, and structured outputs from text.
- Implement speech-to-text, text-to-speech, and multilingual speech workflows.
Practice Text Analysis Questions →
Implement information extraction solutions
10–15% - Build ingestion, indexing, semantic, hybrid, and vector search pipelines for grounding.
- Extract structured document content with OCR, layout analysis, and Content Understanding.
Practice Information Extraction Questions →