{"blocks": [{"key": "55f6f349", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6552caf5", "text": "Holidays: Design an end-to-end data pipeline that enables Alexa to answer holiday-related questions worldwide. Describe data sources, ingestion, normalization, storage, and query layers. How will you reconcile multiple calendar systems (Gregorian, Lunar, Federal) and keep content current?", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d263a167", "text": "Animals: Extend the pipeline so Alexa can answer animal-related questions. What additional data elements, taxonomies, or ML models are required? How will you detect and correct mis-routed queries such as \u201cPeppa Pig\u201d (actually a cartoon character) that are falsely labeled as animal questions?", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "570703a3", "text": "Debugging: You receive error logs showing Alexa fails for specific animal queries. Propose a framework to categorize these errors, trace root causes, and prioritize fixes.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d9886631", "text": "\u200b", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "47116f39", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "94db582c", "text": "Calendars differ by locale\u2014normalize date formats, offsets, and observance rules.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5ba27863", "text": "Implement confidence thresholds and intent-reclassification to handle ambiguous queries like Peppa Pig.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}