SPLK-1001 Practice Question: Creating Reports, Dashboards and Visualizations
A user wants to create a pie chart showing the distribution of error types from web server logs. Which Splunk command should be used to group the errors before visualization?
⚠ Common exam trap
Test-takers frequently confuse `top` with `stats count by` because both can show counts, but `top` is optimized for ranking and may truncate results, whereas `stats count by` provides a complete, unranked aggregation suitable for full-distribution visualizations like pie charts.
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
✓
stats count by error_type
The `stats count by error_type` command groups the raw events by the `error_type` field and computes the count for each group, producing the structured data needed for a pie chart. A pie chart requires aggregated numerical values per category, and `stats count by` is the standard Splunk approach to create this summary from log events.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
table
Why it's wrong here
table only displays fields without aggregation.
- ✗
eval
Why it's wrong here
eval creates or modifies fields but does not aggregate data.
- ✗
top
Why it's wrong here
top shows the most common values but does not output a count field suitable for pie chart.
- ✓
stats count by error_type
Why this is correct
This returns the count per error type, which can be visualized as a pie chart.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SPLK-1001 practice question is part of Courseiva's free Splunk certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SPLK-1001 exam.