Explain how a heap can implement a priority queue for repeated triage.
A support system repeatedly needs the highest-urgency conversation from a changing backlog. Priority queue via heap: define priority, keep the most urgent item at the root, and repair the heap after insert or removal. The common trap is full sorting after every change. Sorting answers more than the worker asks for when the worker only needs the next item. Step 1 Define priority: urgency score first, then waiting time as a tiebreaker. Priority queues are only as clear as the priority rule. Ambiguous priority becomes inconsistent triage. Step 2 Insert each conversation into a max-heap so the root is the…
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