Quick Answer
The answer is count, avg, and earliest. These are valid aggregation functions in the stats command because each operates on field values across a group of events to produce a single statistical result. Count tallies the number of events where a field exists, avg calculates the mean of a numeric field, and earliest returns the oldest timestamp for that field within each group. On the Splunk Core Certified User SPLK-1002 exam, this concept tests your ability to distinguish true aggregation functions from non-aggregating commands like eval or from functions that require specific syntax, such as values or list. A common trap is confusing earliest with first, but earliest is a valid stats function that works on timestamps, not event order. To remember, think of the three core statistical pillars: how many (count), what’s typical (avg), and when it started (earliest).
SPLK-1002 Basic Searching and Transforming Commands Practice Question
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 three of the following are valid uses of the `stats` command in Splunk? (Choose three.)
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
Counting the number of events by a specific field using `count(field)`
The `stats` command in Splunk is used to perform statistical aggregations on search results. `count(field)` counts the number of events where the specified field exists, `avg(field)` calculates the mean of a numeric field, and `earliest(field)` returns the earliest (oldest) timestamp value for that field within each group. These are all valid aggregation functions that operate on field values across events.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse `dedup` as a stats function or think sorting can be embedded in `stats`, when in fact `stats` only supports statistical and time-based aggregations, not deduplication or ordering.
Detailed technical explanation
How to think about this question
Under the hood, the `stats` command uses a map-reduce-like architecture: it partitions events by the `by` clause (if used), applies the aggregation function to each partition, and outputs one result row per group. The `earliest()` function specifically evaluates the `_time` field or a specified timestamp field, returning the minimum value. In real-world scenarios, `earliest(field)` is often used to find the first occurrence of an event per user or device, such as the first login time for each user ID.
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-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.
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FAQ
Questions learners often ask
What does this SPLK-1002 question test?
Basic Searching and Transforming Commands — This question tests Basic Searching and Transforming Commands — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Counting the number of events by a specific field using `count(field)` — The `stats` command in Splunk is used to perform statistical aggregations on search results. `count(field)` counts the number of events where the specified field exists, `avg(field)` calculates the mean of a numeric field, and `earliest(field)` returns the earliest (oldest) timestamp value for that field within each group. These are all valid aggregation functions that operate on field values across events.
What should I do if I get this SPLK-1002 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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Last reviewed: Jun 11, 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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