Your question is Cross-Platform Revenue Data Integrity. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
When revenue, pricing, and opportunity data move between systems like Salesforce and NVIDIA Pricefx, small mismatches can create reporting errors and reduce trust in analysis. Interviewers want to hear both your SQL validation approach and your process discipline.
Explain your process for ensuring data integrity when working across multiple platforms such as Salesforce and NVIDIA Pricefx. Describe how you would validate record completeness, detect mismatched keys, reconcile important fields like account, SKU, price, and effective date, and handle duplicates or NULLs. You should also explain how SQL fits into that process, including the kinds of joins, exception queries, and summary checks you would run.
A strong answer should cover practical validation steps, common failure modes, and how you would communicate discrepancies before data is used in financial reporting or pricing analysis.