Question 216 of 500
Advanced Visualization and LookupshardMultiple ChoiceObjective-mapped

Quick Answer

The answer is Option A, which uses timechart count by status followed by eventstats and eval, because this pipeline efficiently calculates the percentage of total HTTP status codes per day by first aggregating counts per time bucket, then using eventstats to compute the daily total per _time, and finally applying eval to derive the percentage. This approach is the most efficient for calculating percentage per day with timechart and eventstats, as it avoids subsearches or redundant commands while keeping the data in a single search stream. On the Splunk Core Certified Power User SPLK-1003 exam, this question tests your ability to combine transforming commands with eventstats for per-row calculations within time-based results—a common trap is confusing eventstats with stats, which would collapse the time dimension. Remember the memory tip: "timechart counts, eventstats totals, eval percentages" to keep the pipeline order straight.

SPLK-1003 Advanced Visualization and Lookups Practice Question

This SPLK-1003 practice question tests your understanding of advanced visualization and lookups. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

An analyst needs to create a time-series chart showing the percentage of total HTTP status codes per day. Which approach is most efficient?

Question 1hardmultiple choice
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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

timechart count by status | eventstats sum(count) as total by _time | eval pct = round(count/total*100,2) | chart first(pct) over _time by status

Option A is correct because using timechart to get counts by status, then eventstats to compute total per day, and eval to calculate percentage, is efficient and clear. Option B is incorrect because using chart with a single stats command cannot compute percentages across groups per time bucket. Option C is incorrect because addtotals adds overall totals but does not compute per-day percentages. Option D is incorrect because overcomplicates with subsearches.

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.

  • timechart count by status | eventstats sum(count) as total by _time | eval pct = round(count/total*100,2) | chart first(pct) over _time by status

    Why this is correct

    This correctly computes percentages per time bucket and presents them in a time series.

    Related concept

    Read the scenario before looking for a memorised answer.

  • chart count by status over _time | eval pct = count / sum(count) * 100

    Why it's wrong here

    The chart command aggregates at the same time as the eval, but sum(count) gives overall total across all time, not per day.

  • timechart count by status | addtotals | eval pct = count / total * 100

    Why it's wrong here

    addtotals adds a column of overall total, not per-day total.

  • timechart count by status | append [timechart count] | eval pct = count / [| timechart count] * 100

    Why it's wrong here

    Subsearches are inefficient and not designed for per-bucket calculations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Trap categories for this question

  • Command / output trap

    The chart command aggregates at the same time as the eval, but sum(count) gives overall total across all time, not per day.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 SPLK-1003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this SPLK-1003 question test?

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

What is the correct answer to this question?

The correct answer is: timechart count by status | eventstats sum(count) as total by _time | eval pct = round(count/total*100,2) | chart first(pct) over _time by status — Option A is correct because using timechart to get counts by status, then eventstats to compute total per day, and eval to calculate percentage, is efficient and clear. Option B is incorrect because using chart with a single stats command cannot compute percentages across groups per time bucket. Option C is incorrect because addtotals adds overall totals but does not compute per-day percentages. Option D is incorrect because overcomplicates with subsearches.

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

Identify which SPLK-1003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 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.