Question 26 of 510
Basic Searching and Transforming CommandshardMultiple ChoiceObjective-mapped

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.

A large financial institution uses Splunk to consolidate logs from thousands of ATMs. Each ATM sends a heartbeat event every 5 minutes containing fields: atm_id, timestamp, status (OK or ERROR), and firmware_version. The operations team wants to find the number of ATMs that have reported at least one ERROR status in the last hour. The initial search is: index=atm sourcetype=heartbeat status=ERROR | dedup atm_id | stats count. However, this search returns a count that is too high because some ATMs report multiple errors within the hour. The team needs an accurate count of ATMs that had any error, regardless of how many error events each ATM generated. The search must be efficient due to the high volume of events. Which approach should be used?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "least"

    Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.

Question 1hardmultiple choice
Full question →

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

index=atm sourcetype=heartbeat status=ERROR | stats dc(atm_id) as errored_atms

Option B is correct because `stats dc(atm_id)` computes the distinct count of `atm_id` values, directly giving the number of unique ATMs that had at least one ERROR event in the last hour. This is efficient as it processes all matching events in a single pass without needing intermediate deduplication or subsearches, which is critical for high-volume ATM log data.

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.

  • index=atm sourcetype=heartbeat status=ERROR | stats count(atm_id) as error_events | eval error_events

    Why it's wrong here

    This gives total errors, not distinct ATMs.

  • index=atm sourcetype=heartbeat status=ERROR | stats dc(atm_id) as errored_atms

    Why this is correct

    Distinct count of atm_id gives the number of ATMs with any error.

    Clue confirmation

    The clue word "least" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • index=atm sourcetype=heartbeat status=ERROR | stats count by atm_id | where count >=1 | dedup atm_id | stats count

    Why it's wrong here

    This is inefficient and the dedup after stats is unnecessary.

  • index=atm sourcetype=heartbeat status=ERROR | stats values(atm_id)

    Why it's wrong here

    values lists the ATMs but does not count them directly; also it's less direct.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may think `dedup atm_id` followed by `stats count` is necessary to get unique ATMs, but they overlook that `stats dc(atm_id)` achieves the same result more efficiently and is the standard Splunk command for distinct counts.

Detailed technical explanation

How to think about this question

The `dc()` function (distinct count) uses a hyperloglog algorithm internally, which provides approximate distinct counts with minimal memory overhead, making it highly scalable for large datasets. In Splunk, `stats dc(field)` is the idiomatic way to count unique values, and it automatically respects the time range of the search (e.g., last hour) without additional filtering. For real-world ATM monitoring, this approach avoids the performance hit of `dedup` or `sort` commands that would otherwise materialize all events before counting.

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.

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-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: index=atm sourcetype=heartbeat status=ERROR | stats dc(atm_id) as errored_atms — Option B is correct because `stats dc(atm_id)` computes the distinct count of `atm_id` values, directly giving the number of unique ATMs that had at least one ERROR event in the last hour. This is efficient as it processes all matching events in a single pass without needing intermediate deduplication or subsearches, which is critical for high-volume ATM log data.

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.

Are there clue words in this question I should notice?

Yes — watch for: "least". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.

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-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.