- A
eval response_time=response_time + "0" | stats avg(response_time) by server
Why wrong: Adding a string does not convert to numeric; avg will fail.
- B
eval response_num=replace(response_time, "ms", "") | eval response_num=response_num*1 | stats avg(response_num) by server
Replace removes 'ms', and multiplying by 1 converts to numeric, then avg works.
- C
eval response_num=replace(response_time, "ms", "") | stats avg(response_num) by server
Why wrong: Replace returns a string, so avg will treat it as a string with unpredictable results.
- D
eval avg_response=avg(response_time)
Why wrong: Avg requires numeric fields; string fields cause errors or unexpected results.
Question 501 of 520
SPLK-1002 Using Fields and Lookups Practice Question
This SPLK-1002 practice question tests your understanding of using fields and lookups. 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.
An analyst wants to compute the average response time for each server from web server logs. The field `response_time` is a string like '120ms'. What is the correct way to convert and compute?
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
✓
eval response_num=replace(response_time, "ms", "") | eval response_num=response_num*1 | stats avg(response_num) by server
Option B is correct because it first uses `replace` to strip the 'ms' suffix from the string field `response_time`, then multiplies the resulting string by 1 (`response_num*1`) to coerce it into a numeric type. Only after conversion can `stats avg(response_num) by server` compute a meaningful average. Without the numeric coercion, Splunk would treat the field as a string and either fail or produce incorrect results.
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.
- ✗
eval response_time=response_time + "0" | stats avg(response_time) by server
Why it's wrong here
Adding a string does not convert to numeric; avg will fail.
- ✓
eval response_num=replace(response_time, "ms", "") | eval response_num=response_num*1 | stats avg(response_num) by server
Why this is correct
Replace removes 'ms', and multiplying by 1 converts to numeric, then avg works.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
eval response_num=replace(response_time, "ms", "") | stats avg(response_num) by server
Why it's wrong here
Replace returns a string, so avg will treat it as a string with unpredictable results.
- ✗
eval avg_response=avg(response_time)
Why it's wrong here
Avg requires numeric fields; string fields cause errors or unexpected results.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume `replace` alone makes a field numeric, forgetting that Splunk treats the result as a string until an explicit arithmetic operation (like `*1` or `tonumber()`) forces type conversion.
Detailed technical explanation
How to think about this question
Under the hood, Splunk's `eval` command performs implicit type coercion only for arithmetic operators like `+`, `-`, `*`, `/`, but not for functions like `avg()`. Multiplying a string by 1 (`*1`) forces numeric conversion because the multiplication operator expects numeric operands. In real-world scenarios, web server logs often store durations with units (e.g., '120ms', '2.5s'), and failing to strip units and convert to a numeric type before statistical aggregation is a common source of silent data loss or incorrect dashboards.
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.
- →
Using Fields and Lookups — study guide chapter
Learn the concepts, then practise the questions
- →
Using Fields and Lookups practice questions
Targeted practice on this topic area only
- →
All SPLK-1002 questions
520 questions across all exam domains
- →
Splunk Core Certified User SPLK-1002 study guide
Full concept coverage aligned to exam objectives
- →
SPLK-1002 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related SPLK-1002 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Splunk Basics and Interface Navigation practice questions
Practise SPLK-1002 questions linked to Splunk Basics and Interface Navigation.
Basic Searching and Transforming Commands practice questions
Practise SPLK-1002 questions linked to Basic Searching and Transforming Commands.
Using Fields and Lookups practice questions
Practise SPLK-1002 questions linked to Using Fields and Lookups.
Creating Reports, Dashboards and Visualizations practice questions
Practise SPLK-1002 questions linked to Creating Reports, Dashboards and Visualizations.
Data Models and Best Practices practice questions
Practise SPLK-1002 questions linked to Data Models and Best Practices.
SPLK-1002 fundamentals practice questions
Practise SPLK-1002 questions linked to SPLK-1002 fundamentals.
SPLK-1002 scenario practice questions
Practise SPLK-1002 questions linked to SPLK-1002 scenario.
SPLK-1002 troubleshooting practice questions
Practise SPLK-1002 questions linked to SPLK-1002 troubleshooting.
Practice this exam
Start a free SPLK-1002 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-1002 question test?
Using Fields and Lookups — This question tests Using Fields and Lookups — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: eval response_num=replace(response_time, "ms", "") | eval response_num=response_num*1 | stats avg(response_num) by server — Option B is correct because it first uses `replace` to strip the 'ms' suffix from the string field `response_time`, then multiplies the resulting string by 1 (`response_num*1`) to coerce it into a numeric type. Only after conversion can `stats avg(response_num) by server` compute a meaningful average. Without the numeric coercion, Splunk would treat the field as a string and either fail or produce incorrect results.
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.
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 →
Keep practising
More SPLK-1002 practice questions
- During a data model acceleration build, the following error appears in splunkd.log: 'Data model acceleration: not enough…
- Which TWO are best practices for creating data models in Splunk? (Choose two.)
- A user reports that a data model acceleration is consuming excessive disk space on the indexer. The data model has a sum…
- A security analyst wants to investigate a suspicious IP address that appeared in multiple log sources. Which Splunk feat…
- A search includes the command '| stats dc(user) by host'. What does this command return?
- A large e-commerce company uses Splunk to monitor their web application. The operations team has noticed that the search…
Last reviewed: Jul 4, 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.
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.
Sign in to join the discussion.