Question 72 of 500
Advanced Searching and StatisticshardMultiple SelectObjective-mapped

Quick Answer

The answer is `chart count by _time span=1d`, along with `timechart count` and `chart count over _time bins=24`. These three commands are correct because they all produce a time-based chart by explicitly grouping events into time buckets—either through the `timechart` command, which inherently creates time-based visualizations, or by using the `chart` command with a `by _time` clause and a `span` or `bins` argument to define equal time intervals. On the Splunk Core Certified Power User SPLK-1003 exam, this question tests your ability to distinguish commands that generate time-series data from those that produce static aggregations; a common trap is assuming any `chart` command creates a time-based chart, but without `_time` as the splitting field or a `span`/`bins` modifier, it will not bucket events over time. Remember the memory tip: if you want time on the x-axis, look for `timechart` or `chart` with `_time` and a time-based splitter like `span` or `bins`.

SPLK-1003 Advanced Searching and Statistics Practice Question

This SPLK-1003 practice question tests your understanding of advanced searching and statistics. 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 THREE of the following commands can produce a time-based chart (timechart or chart with time buckets)? (Choose three.)

Question 1hardmulti select
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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`

Option A is correct because 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.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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.

    Related concept

    Read the scenario before looking for a memorised answer.

  • `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.

    Related concept

    Read the scenario before looking for a memorised answer.

  • `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.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

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.

Detailed technical explanation

How to think about this question

The `timechart` command is a specialized wrapper around `chart` that automatically sets `_time` as the x-axis and can handle sparse data by filling gaps. Under the hood, both `chart` with `over _time` and `timechart` use the same search pipeline to bin events into time buckets based on the `span` or `bins` argument, but `timechart` also applies a default `span` and can use functions like `count`, `sum`, or `avg` per bucket. In real-world scenarios, using `chart count over _time bins=24` is useful when you need explicit control over the number of buckets, while `timechart span=1h count` is simpler for fixed intervals.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A practitioner preparing for the SPLK-1003 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

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this SPLK-1003 question test?

Advanced Searching and Statistics — This question tests Advanced Searching and Statistics — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: `chart count over _time bins=24` — Option A is correct because 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.

What should I do if I get this SPLK-1003 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Same concept, more angles

1 more ways this is tested on SPLK-1003

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 B: Option B is correct because the `timechart count` command in Splunk automatically bins events into time-based buckets and produces a time-series chart. The `by _time` clause is redundant but not incorrect, as `timechart` inherently uses `_time` as the x-axis; however, the canonical form is `timechart count` without the `by _time` clause. This command aggregates the count of events per time span and displays the result as a column or line chart over time.

Last reviewed: Jun 30, 2026

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This SPLK-1003 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-1003 exam.