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Tools in Data Science · End Term · 31 Aug 2025 · May 2025 term · Set QDD1

Question 29: Scenario 3: E-commerce Platform Log Analysis\ You're ana…

Question 29

+1 markOne correct option

Scenario 3: E-commerce Platform Log Analysis
You're analyzing Apache access logs from a major e-commerce platform. The logs contain customer browsing patterns, purchase behaviors, and system performance metrics during Black Friday sales.
Log Format Specification:

Analysis Requirements:
● Filter purchases (POST to /checkout/) during peak hours (12:00-15:59)
● Identify mobile vs desktop traffic patterns
● Track successful transactions (status codes 200-299)
● Analyze product category performance
Based on the above data, answer the given subquestions.

If the transaction count appears unexpectedly high, which systematic debugging approach would identify the root cause?

  1. A

    Assume data corruption and discard results

  2. B

    Validate each filter condition independently: time range → HTTP method → URL pattern → status code

  3. C

    Reduce the dataset size randomly

  4. D

    Check only the timestamp filter

Show answer

Correct answer

  • B

    Validate each filter condition independently: time range → HTTP method → URL pattern → status code

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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