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Tools in Data Science · End Term · 31 Aug 2025 · May 2025 term · Set QIA3

Question 29: Scenario 3: Gaming Platform User Behavior Analysis\ You'…

Question 29

+1 markOne correct option

Scenario 3: Gaming Platform User Behavior Analysis
You're analyzing server logs from a multiplayer gaming platform during a major tournament event. The logs contain player actions, performance metrics, and system resource utilization data.

Analysis Requirements:
●Filter competitive gaming actions (kills, deaths, objectives) during tournament hours (14:00- 20:59)
●Differentiate between PC and console gaming patterns
●Track successful game events (status codes 200-299)
●Analyze player performance across different game modes
Based on the above data, answer the given subquestions.

If tournament action counts appear inconsistently high, which systematic debugging approach identifies the issue?

  1. A

    Assume tournament data corruption and exclude results

  2. B

    Validate each filter systematically: time range → game mode → action type → status codes → platform detection

  3. C

    Reduce dataset randomly and extrapolate

  4. D

    Focus only on successful status codes

Show answer

Correct answer

  • B

    Validate each filter systematically: time range → game mode → action type → status codes → platform detection

See the whole paperTake it as a mock test

Question 29 of 34 in the IIT Madras BS Tools in Data Science (Tools in Data Science (TDS)) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIA3 31 Aug 2025). It carries 1 mark.

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