Question 388 of 475
SPLK-1002 Advanced Searching and Statistics Practice Question
When using the stats command with multiple BY fields, the results show many rows with null values. What is the most likely cause and how can it be reduced?
⚠ Common exam trap
Test-takers frequently confuse `usenull=f` with post-processing filters like `where` or `fillnull`, not realizing that the null rows are generated during the `stats` aggregation itself and must be prevented at that stage.
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
✓
Use | stats ... by ... usenull=f
The `stats` command includes null values in BY fields by default, which can produce many rows with nulls. Using `usenull=f` explicitly tells `stats` to ignore null values in the BY clause, reducing those rows. This parameter is specific to the `stats` command and directly addresses the root cause.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use | where command to filter out null values
Why it's wrong here
Removes rows with null grouping fields, may lose data
- ✓
Use | stats ... by ... usenull=f
Why this is correct
Prevents null groups from appearing
- ✗
Use | eval to replace nulls before stats
Why it's wrong here
Works but is not the most direct method
- ✗
Use | fillnull value=0 outputfield=count after stats
Why it's wrong here
Replaces nulls but does not reduce rows
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Last reviewed: Jun 25, 2026
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