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Design a natural-language AEP Q&A assistant
Goal
Design a natural-language assistant for Adobe Experience Platform (AEP) that serves two primary functions:
- AEP Product Functionality Q&A: Answer questions about AEP product features and usage, strictly leveraging public-facing AEP documentation.
- Customer Data Q&A: Answer questions about the customer’s own data stored within AEP (e.g., "How many datasets do I have?", "What are the top 5 biggest audiences by population?") through secure summarization.
Requirements
Your design must specify the following:
- End-to-End Architecture: Detail the complete system, including document ingestion, indexing, retrieval mechanisms, grounding/orchestration logic, LLM selection criteria, and prompt design strategies.
- Authorization and Data-Access Controls: Outline how tenant-scoped data will be secured, ensuring appropriate authorization and access controls.
- Guardrails: Implement mechanisms for scope-limited Q&A, including a default refusal message for out-of-domain queries.
- Performance Targets: Define latency and Service Level Agreement (SLA) targets for the system.
- Privacy and Auditability: Address handling of Personally Identifiable Information (PII), privacy concerns, and provide an auditability strategy.
- Evaluation and Monitoring: Propose a comprehensive strategy for evaluating system performance and continuous monitoring.
- Example Question Handling: Demonstrate how the system would handle specific example questions, such as "How do I authenticate?" or "How do I create rule-based audiences?".
- APIs, Schemas, and Deployment: Propose necessary APIs, data schemas, and a high-level deployment plan.
AI interview prep
Core dilemma
Balancing the flexibility and power of Large Language Models (LLMs) for natural language understanding with stringent data governance, security, real-time performance, and accuracy requirements across both static public documentation and dynamic, sensitive, tenant-specific customer data.
Mid-level signals4
Senior signals5
Red flags5
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a natural-language AEP Q&A assistant
Goal
Design a natural-language assistant for Adobe Experience Platform (AEP) that serves two primary functions:
- AEP Product Functionality Q&A: Answer questions about AEP product features and usage, strictly leveraging public-facing AEP documentation.
- Customer Data Q&A: Answer questions about the customer’s own data stored within AEP (e.g., "How many datasets do I have?", "What are the top 5 biggest audiences by population?") through secure summarization.
Requirements
Your design must specify the following:
- End-to-End Architecture: Detail the complete system, including document ingestion, indexing, retrieval mechanisms, grounding/orchestration logic, LLM selection criteria, and prompt design strategies.
- Authorization and Data-Access Controls: Outline how tenant-scoped data will be secured, ensuring appropriate authorization and access controls.
- Guardrails: Implement mechanisms for scope-limited Q&A, including a default refusal message for out-of-domain queries.
- Performance Targets: Define latency and Service Level Agreement (SLA) targets for the system.
- Privacy and Auditability: Address handling of Personally Identifiable Information (PII), privacy concerns, and provide an auditability strategy.
- Evaluation and Monitoring: Propose a comprehensive strategy for evaluating system performance and continuous monitoring.
- Example Question Handling: Demonstrate how the system would handle specific example questions, such as "How do I authenticate?" or "How do I create rule-based audiences?".
- APIs, Schemas, and Deployment: Propose necessary APIs, data schemas, and a high-level deployment plan.