{"blocks": [{"key": "a7acca72", "text": "Scenario: LinkedIn is rolling out an upgraded job recommendation algorithm.", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a623d66a", "text": "Question 1: Which key offline and online metrics would you track to judge success?", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "311d0203", "text": "Question 2: How would you design an A/B test to compare the new model against the current one while mitigating network effects?", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3027a118", "text": "Question 3: How would you determine required sample size, exposure, and test duration?", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "efd3adab", "text": "Question 4: If performance differs across user segments, how would you diagnose root causes and iterate?", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}