Start by clarifying the business objective and constraints of the weapons advertising system, then outline a data collection strategy that balances relevance, compliance, and scalability. Structure your answer around defining requirements, identifying data sources, designing collection mechanisms, and addressing ethical/legal considerations.
Pro tip: Acknowledge the sensitive nature of weapons advertising and emphasize compliance with Meta's policies and legal regulations; show that you prioritize responsible AI and user safety alongside technical feasibility.
Ask questions to understand the goal: is it to target specific audiences, measure ad effectiveness, or optimize content? Identify constraints like legal restrictions, platform policies, and ethical boundaries.
Determine what data is needed: user demographics, interests, behavior, ad content, and context. Consider internal sources (user profiles, ad interactions) and external sources (public records, partner data) while respecting privacy.
Outline how data will be collected: real-time event logging, batch processing, surveys, or third-party APIs. Ensure data quality, volume, and velocity are handled with appropriate tools (e.g., Kafka, Spark).
Detail how you will comply with regulations (GDPR, CCPA), platform policies, and ethical guidelines. Implement consent management, anonymization, and auditing to prevent misuse.
Describe how you will validate data quality, monitor for bias, and iterate based on feedback. Set up metrics to evaluate the effectiveness of the data collection system.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.