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Creating Time-Based Charts in Splunk: Timechart vs Chart Commands

Which THREE of the following commands can produce a time-based chart (timechart or chart with time buckets)? (Choose three.)

Quick Answer

Producing a genuinely time-based chart in Splunk comes down to giving a charting command a way to divide the time range into discrete buckets, and there are a couple of syntaxes that accomplish that same underlying goal. chart count by _time span=1d groups events by the _time field with each bucket spanning one day, and as the explanation illustrates with an alternate form, chart over _time bins=24 achieves the equivalent result by instead specifying a fixed number of buckets, 24, for the command to divide the time range into automatically rather than a fixed bucket width. Both approaches end up producing a series of counts per time bucket, which is what makes a chart genuinely time-based rather than just a static breakdown by some other field. The key idea is that chart-style commands need either an explicit span, like span=1d, or an explicit bin count, like bins=24, applied to _time in order to create these buckets; without one of those, a chart command grouping by a non-time field produces categorical results instead. When an exam question asks you to identify commands or syntax that produce a time-based chart, look specifically for _time being used as the grouping field together with either a span or bins parameter defining the bucket size.

⚠ Common exam trap

Splunk often tests the distinction between `stats` and `chart`/`timechart`, where candidates mistakenly think `stats count by _time` can produce a time-based chart, but `stats` only returns tabular data and does not support time-based charting without the `chart` or `timechart` command.

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

`chart count over _time bins=24`

The `chart` command with `over _time bins=24` explicitly creates a time-based chart by splitting the time range into 24 equal bins, each representing a time bucket, and then counts events per bucket. This produces a chart that can be visualized over time, similar to a timechart.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • `chart count over _time bins=24`

    Why this is correct

    Correct: chart with bins over _time creates a time-based chart.

  • `stats count by _time span=1h`

    Why it's wrong here

    Stats produces a table, not a chart; it does not have timechart visualization capabilities.

  • `timechart span=1h count`

    Why this is correct

    Correct: timechart directly creates a time-based chart.

  • `top _time`

    Why it's wrong here

    Top counts events per _time value, but does not create a chart.

  • `chart count by _time span=1d`

    Why this is correct

    Correct: chart by _time with span creates a time-based chart.

About these practice questions

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Same concept, more angles

1 more way this is tested on SPLK-1002

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. Which command creates a time-based chart showing a count of events over time?

easy
  • A.| timecount
  • B.| timechart count by _time
  • C.| chart count over _time
  • D.| timechart count

Why D: `timechart count` is the correct command for a time-based chart of event count. The `timechart` command automatically buckets by `_time`, so `by _time` is unnecessary and invalid as a timechart split-by field. `chart count over _time` is not a timechart command, and `timecount` is not a valid Splunk command.

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.