SPLK-1002 Advanced Searching and Statistics Practice Question
A user wants to calculate the average response time per user, but only for users who have more than 10 events. Which search approach is efficient?
⚠ Common exam trap
Candidates often confuse `eventstats` with `stats` and think they can filter on an aggregated field like `count` without first computing it in the same `stats` command, leading them to choose Option A or D.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
index=web | stats avg(response_time) as avg, count as cnt by user | where cnt>10
It first uses `stats` to compute both the average response time and the event count per user, then filters with `where cnt>10` to keep only users who have more than 10 events. This ensures the average is calculated only after grouping, and the count condition is applied on the aggregated result, which is efficient and accurate.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
index=web | eventstats avg(response_time) as avg by user | where count>10
Why it's wrong here
eventstats does not compute count; 'count' is undefined.
- ✓
index=web | stats avg(response_time) as avg, count as cnt by user | where cnt>10
Why this is correct
Computes both statistics and filters correctly.
- ✗
index=web | where count>10 | stats avg(response_time) by user
Why it's wrong here
The field 'count' does not exist at the time of the where clause.
- ✗
index=web | stats avg(response_time) as avg by user | where count>10
Why it's wrong here
The field 'count' is not computed in this search.
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