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Why might API analytics tools discard duplicate keys when aggregating usage data by endpoint?

hard📝 Conceptual Q10 of 15
Rest API - API Testing and Monitoring
Why might API analytics tools discard duplicate keys when aggregating usage data by endpoint?
ABecause dictionary keys must be unique, later entries overwrite earlier ones
BBecause duplicate keys cause syntax errors in API calls
CBecause duplicates indicate invalid API endpoints
DBecause duplicates increase API response time
Step-by-Step Solution
Solution:

  1. Step 1: Recall dictionary key rules

    In data structures like dictionaries, keys must be unique; duplicates overwrite previous values.

  2. Step 2: Understand effect on aggregation

    When aggregating by endpoint, duplicate keys cause overwriting, so only last value remains.

  3. Final Answer:

    Because dictionary keys must be unique, later entries overwrite earlier ones -> Option A

  4. Quick Check:

    Duplicate keys overwrite in dictionaries [OK]
Quick Trick: Duplicate keys overwrite previous values in dictionaries [OK]
Common Mistakes:
MISTAKES
  • Thinking duplicates cause syntax errors
  • Assuming duplicates mean invalid endpoints
  • Believing duplicates slow response time

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