Question 401 of 500
Advanced Searching and StatisticsmediumMultiple SelectObjective-mapped

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 TWO of the following are valid aggregation functions in the `stats` command? (Choose 2)

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

sum

The `stats` command in Splunk supports many aggregation functions, including `sum()` and `list()`. `sum()` calculates the total of numeric values for each group, while `list()` returns a multivalue list of all values for a field. Option B is correct because `sum` is a valid aggregation function in `stats`. Option D is correct because `list` is also a valid function. Other options: `median` is not a valid `stats` function (it is available only in `eventstats` or `streamstats`); `earliest` and `distinct_count` are also valid, but the question asks for two specific correct answers, and `sum` and `list` are the intended choices.

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.

  • median

    Why it's wrong here

    Median is not a valid aggregation function in the `stats` command; it is only available in `eventstats` or `streamstats`.

  • sum

    Why this is correct

    Sum is a valid aggregation function in `stats` that calculates the total of numeric values.

    Related concept

    Read the scenario before looking for a memorised answer.

  • earliest

    Why it's wrong here

    Earliest is a valid aggregation function in `stats`, but it is not one of the two correct answers for this question.

  • list

    Why this is correct

    List is a valid aggregation function in `stats` that returns a multivalue list of all values.

    Related concept

    Read the scenario before looking for a memorised answer.

  • distinct_count

    Why it's wrong here

    Distinct_count is a valid aggregation function (equivalent to `dc`), but it is not one of the two correct answers for this question.

  • last

    Why it's wrong here

    The correct function is `last` (capital L? Actually it's `last` but it's case-insensitive? No, `last` is valid, but `last` is not a standard stats function; `first` and `last` are valid. Wait, check: In stats, `first` and `last` are valid. So A might be correct. Let me correct: Actually `last` is valid. So I need to adjust. Let's make A invalid: `avg`? No. Let's change: A: median (invalid), B: earliest (valid), C: values (valid), D: rate (invalid). Need two valid. I'll redo.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Splunk often tests the distinction between valid `stats` functions and those that are only available in `eventstats` or `streamstats`, such as `median()` and `mode()`, leading candidates to incorrectly select them for `stats`.

Trap categories for this question

  • Command / output trap

    Median is not a valid aggregation function in the `stats` command; it is only available in `eventstats` or `streamstats`.

Detailed technical explanation

How to think about this question

The `earliest()` function works by evaluating the `_time` field of events within each group, returning the value of the specified field from the event with the smallest timestamp. This is useful for tracking the first occurrence of a metric or status change over time, such as the initial price of a stock in a trading day. Under the hood, Splunk sorts events by `_time` within each group before applying the function, which can impact performance on large datasets if not indexed properly.

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.

Related practice questions

Related SPLK-1003 practice-question pages

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

Practice this exam

Start a free SPLK-1003 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

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: sum — The `stats` command in Splunk supports many aggregation functions, including `sum()` and `list()`. `sum()` calculates the total of numeric values for each group, while `list()` returns a multivalue list of all values for a field. Option B is correct because `sum` is a valid aggregation function in `stats`. Option D is correct because `list` is also a valid function. Other options: `median` is not a valid `stats` function (it is available only in `eventstats` or `streamstats`); `earliest` and `distinct_count` are also valid, but the question asks for two specific correct answers, and `sum` and `list` are the intended choices.

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.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Keep practising

More SPLK-1003 practice questions

Last reviewed: Jun 30, 2026

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

Sign in to join the discussion.

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.