Question 279 of 500
Transactions and Event CorrelationmediumMultiple ChoiceObjective-mapped

SPLK-1003 Transactions and Event Correlation Practice Question

This SPLK-1003 practice question tests your understanding of transactions and event correlation. 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.

A large e-commerce company uses Splunk to monitor its web application performance. The application logs every HTTP request with fields: `transaction_id`, `url`, `response_time_ms`, `status`. Currently, the team uses the following search to identify slow page loads:

`index=web sourcetype=access_combined | transaction transaction_id maxspan=60s | eval total_time = sum(response_time_ms) | where total_time > 5000`

However, the search returns no results even though there are known slow pages. The team verified that logs contain `transaction_id` values and that some pages take over 10 seconds. What is the most likely reason the search fails to identify slow pages?

Clue words in this question

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

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Question 1mediummultiple 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

The `eval total_time = sum(response_time_ms)` is incorrect because after `transaction`, `response_time_ms` is a multivalue field, and `sum()` does not automatically calculate the sum of multivalue fields.

Option D is correct because after the `transaction` command, `response_time_ms` becomes a multivalue field containing all the individual response times from the events in the transaction. The `sum()` function in `eval` does not automatically aggregate multivalue fields; it requires explicit use of the `mvsum()` function or a `stats sum()` approach. Without this, `total_time` is not calculated correctly, so the `where` clause never matches, returning no results despite slow pages existing.

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.

  • The `maxspan=60s` is too short; some page loads may take longer than 60 seconds, causing incomplete transactions.

    Why it's wrong here

    Even if some take longer, known 10-second loads should be captured.

  • The `transaction` command is grouping by `transaction_id`, but the events might have different transaction_id values for the same page load.

    Why it's wrong here

    If transaction_id is correctly logged, this should work.

  • The field name is misspelled; it should be `response_time` not `response_time_ms`.

    Why it's wrong here

    No evidence of misspelling.

  • The `eval total_time = sum(response_time_ms)` is incorrect because after `transaction`, `response_time_ms` is a multivalue field, and `sum()` does not automatically calculate the sum of multivalue fields.

    Why this is correct

    `sum()` is a statistical function; you need `eval total_time = mvsum(response_time_ms)` or use `stats sum` in a different approach.

    Clue confirmation

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

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates assume `sum()` in `eval` automatically aggregates multivalue fields, but Splunk's `eval` does not support aggregation functions on multivalue fields without explicit `mv` functions.

Detailed technical explanation

How to think about this question

Under the hood, the `transaction` command groups events by `transaction_id` and consolidates fields into multivalue fields. The `eval` command operates on single values, so `sum(response_time_ms)` treats the multivalue field as a single string or fails to aggregate. To correctly sum multivalue fields, you must use `eval total_time = mvsum(response_time_ms)` or `stats sum(response_time_ms) as total_time by transaction_id`. In real-world scenarios, this nuance often leads to silent failures where searches appear correct but produce no results due to implicit multivalue handling.

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?

Transactions and Event Correlation — This question tests Transactions and Event Correlation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The `eval total_time = sum(response_time_ms)` is incorrect because after `transaction`, `response_time_ms` is a multivalue field, and `sum()` does not automatically calculate the sum of multivalue fields. — Option D is correct because after the `transaction` command, `response_time_ms` becomes a multivalue field containing all the individual response times from the events in the transaction. The `sum()` function in `eval` does not automatically aggregate multivalue fields; it requires explicit use of the `mvsum()` function or a `stats sum()` approach. Without this, `total_time` is not calculated correctly, so the `where` clause never matches, returning no results despite slow pages existing.

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.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

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

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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.