This SPLK-1002 practice question tests your understanding of creating reports, dashboards and visualizations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
table
Why wrong: table only displays fields without aggregation.
eval
Why wrong: eval creates or modifies fields but does not aggregate data.
top
Why wrong: top shows the most common values but does not output a count field suitable for pie chart.
stats count by error_type
This returns the count per error type, which can be visualized as a pie chart.
Answer choices
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
Option D is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often 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.
Trap categories for this question
Command / output trap
top shows the most common values but does not output a count field suitable for pie chart.
Detailed technical explanation
Under the hood, `stats count by error_type` uses the Splunk search pipeline to partition events into buckets based on unique values of `error_type`, then applies the `count` aggregation function to each bucket. This command respects the search time range and can be combined with other transformations like `timechart` for temporal analysis. In real-world scenarios, if the `error_type` field contains null or missing values, `stats` will include a separate bucket for those events, which can skew the pie chart distribution if not handled with a `where` clause.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the SPLK-1002 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Creating Reports, Dashboards and Visualizations — This question tests Creating Reports, Dashboards and Visualizations — Read the scenario before looking for a memorised answer..
The correct answer is: stats count by error_type — Option D is correct because 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This SPLK-1002 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-1002 exam.
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