Evaluating RAG and Agents

Evaluating RAG and Agents

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1Microsoft FDE Roles: Direct and Partner 2The Interview Loop and What Each Round Tests 3Coming From AWS or Google Cloud: Mapping to the Azure AI Stack

4How Microsoft Grades Coding and Choosing Your Language 5High-frequency Problem Patterns 6Practical FDE Coding: APIs, Data and Integration 7Mock Coding Round

8Foundry and Azure OpenAI Essentials 9Designing Agents With Foundry Agent Service 10Tools, Actions and Human Approval

11The Azure AI Search RAG Flow and Indexing 12Retrieval Quality: Vector, Hybrid and Semantic Ranking

13Evaluating RAG and Agents

14Entra ID for Apps and Agents 15Security and Responsible AI Controls 16Operating in Production: Observability, Cost and Safe Failure

17Customer-Scenario Discovery and MVP Scoping 18Mock Design Round — Enterprise Agent on Azure

19STAR(R) Evidence for Microsoft Behavioral Interviews 20Story Bank and Dual-Audience Project Walkthrough 21Interview Round — Behavioral and “As Appropriate” Practice 22Conclusion — Full-Loop Simulation and Seven-Day Plan

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Master the Microsoft Forward Deployed Engineer Interview
Evaluating RAG and Agents