Design a natural-language AEP Q&A assistant

Q: Design a natural-language AEP Q&A assistant

This is a ML System Design interview question from Adobe for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

System Design: Natural-Language Assistant for Adobe Experience Platform (AEP)

Goal

Design a natural-language assistant for AEP that helps marketers:

Answer questions about AEP product functionality strictly using public-facing AEP documentation.
Answer questions about the customer’s own data stored in AEP (e.g., "How many datasets do I have?", "What are the top 5 biggest audiences by population?") via secure summarization.

Requirements

Specify:

End-to-end architecture: document ingestion, indexing, retrieval, grounding/orchestration, LLM selection, prompt design.
Authorization and data-access controls for tenant-scoped data.
Guardrails for scope-limited Q&A and a default refusal message for out-of-domain queries.
Latency/SLA targets.
Privacy/PII handling and auditability.
Evaluation/monitoring strategy.
How the system handles example questions like authentication steps and creating rule-based audiences.
Proposed APIs, schemas, and a deployment plan.

Design a natural-language AEP Q&A assistant

System Design: Natural-Language Assistant for Adobe Experience Platform (AEP)

Goal

Requirements

Solution (Locked)

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