{"blocks": [{"key": "aded457a", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "20fcd0aa", "text": "Designing and deploying an ML model that mirrors the interview team’s recommendation pipeline.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d9c678ef", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0bd1b697", "text": "Walk me through the feature engineering you performed for your most recent production model. Why did you choose the particular algorithm you used? What alternatives did you consider and why were they rejected? Describe the end-to-end workflow from raw data ingestion to online inference and monitoring.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a3a3f5f2", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "674ca6a4", "text": "Explain trade-offs, latency vs. accuracy, retraining cadence, and monitoring strategy.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}