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Section 13: The Judges' Table - Final Summary & Candidate Scorecard

Executive Summary: This section turns the module into a grading tool. It replays the arc as signals, then lays out the 100-point scorecard: five dimensions, each described by what a top answer and a point-losing answer sound like for this problem. Score bands map your total to a readiness level, and a catalog shows where this question hides in real loops.

The architecture diagram you drew for Maya's comment was worth about a quarter of the points. The interviewer was grading something else the whole hour. Did you notice that a five-million-viewer stream breaks the "chat room" model? Did your arithmetic decide anything? When told "just use Redis Pub/Sub," did you defend the log with a reason? You can't reliably earn points you can't name, so this section names them.

The Arc, Replayed as Signal

The module moved in five phases; here's what each one recorded.

The interview arc as signal: sections 1–3 recorded seeing the asymmetry (50K writes/s vs 150M deliveries/s, 10/s display cap); 4–6 building for it (POST up, SSE down, the log as spine); 7–8 mechanism, number and trade-off (offset resume, two lanes, fan-out tree); 9 holding position with reasons; 10–12 video never depending on comments, reach driving safety, and features reusing doors

Key Insight: None of these signals is "knew Kafka" or "knew SSE." Each is about letting a measured number decide the design. The 3,000× gap between writes and deliveries made fan-out, not storage, the hard part. The 10/s cap made the 5M-viewer stream select rather than deliver. The 10 Gbps one router would need is why the tree exists.

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