Quick Answer
The answer is `timechart` and `chart`. The `timechart` command is the primary tool for creating charts of event counts over time because it automatically splits events into equal time buckets and counts them, placing time on the x-axis without any extra configuration. The `chart` command can also produce a time-based chart, but it requires you to explicitly specify the `_time` field as the x-axis and does not automatically bucket events, making it less convenient for this specific use case. On the Splunk SPLK-1002 exam, this distinction is a common trap: many candidates assume only `timechart` works, but the exam tests your understanding that `chart` with `_time` is also valid. A helpful memory tip is to think of `timechart` as the "automatic time machine" that handles bucketing for you, while `chart` is the "manual override" that needs you to point to the time field.
This SPLK-1002 practice question tests your understanding of basic searching and transforming commands. 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.
Which TWO commands can be used to create a chart that shows the count of events over time?
top
Why wrong: top returns a table of top values, not a time-based chart.
eval
Why wrong: eval creates fields but does not produce charts.
timechart
timechart is specifically designed for time-series charting.
stats
Why wrong: stats returns tabular results, may need conversion to chart.
chart
chart can produce time-based charts when used with a time field.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
timechart
The `timechart` command is specifically designed to create a time-based chart where the x-axis represents time and the y-axis represents a statistical aggregation, such as count. By default, `timechart count` splits events into time buckets and counts the number of events in each bucket, making it ideal for showing event counts over time. The `chart` command can also produce a time-based chart when used with the `_time` field as the x-axis, but it requires explicit specification of the time field and does not automatically bucket by time like `timechart` does.
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.
top
Why it's wrong here
top returns a table of top values, not a time-based chart.
eval
Why it's wrong here
eval creates fields but does not produce charts.
timechart
Why this is correct
timechart is specifically designed for time-series charting.
Related concept
Read the scenario before looking for a memorised answer.
stats
Why it's wrong here
stats returns tabular results, may need conversion to chart.
chart
Why this is correct
chart can produce time-based charts when used with a time field.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Splunk often tests the distinction between `chart` and `timechart`, where candidates mistakenly think `chart` alone cannot produce a time-based chart, but `chart` can when explicitly using `_time` as the x-axis, though `timechart` is the more appropriate and automatic choice for time-based counts.
Detailed technical explanation
Under the hood, `timechart` uses the `span` argument to define the time bucket size (e.g., `span=1h`), and it automatically handles gaps in time series data by filling in null values or using the `usenull=f` option. A subtle behavior is that `timechart` requires a valid `_time` field and will fail if the data does not have a `_time` field or if the time format is not recognized. In real-world scenarios, `timechart` is preferred over `chart` for time-series analysis because it automatically sorts by time and handles partial bucket intervals at the start and end of the time range.
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
Basic Searching and Transforming Commands — This question tests Basic Searching and Transforming Commands — Read the scenario before looking for a memorised answer..
The correct answer is: timechart — The `timechart` command is specifically designed to create a time-based chart where the x-axis represents time and the y-axis represents a statistical aggregation, such as count. By default, `timechart count` splits events into time buckets and counts the number of events in each bucket, making it ideal for showing event counts over time. The `chart` command can also produce a time-based chart when used with the `_time` field as the x-axis, but it requires explicit specification of the time field and does not automatically bucket by time like `timechart` does.
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 30, 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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