- A
Replace 'top' with 'rare' to reduce the amount of data processed
Why wrong: Rare is even more resource-intensive than top.
- B
Use 'stats count by src_ip | sort - count | head 10' instead of top
Why wrong: This is essentially the same operation as top, with no performance gain.
- C
Add 'fields src_ip' before top to remove other fields
Why wrong: While fields can help, the bottleneck is the aggregation, not field width.
- D
Create a report acceleration summary for the search or implement summary indexing
Acceleration pre-computes results, so on-demand searches are fast.
SPLK-1002 Basic Searching and Transforming Commands Practice Question
This SPLK-1002 practice question tests your understanding of basic searching and transforming commands. 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 medium-sized company uses Splunk to monitor its e-commerce platform. The platform generates around 10 million events per day from web servers, application logs, and databases. The security team wants to identify the top 10 IP addresses that trigger the most 403 Forbidden errors in the last 24 hours. However, when they run the search: index=ecom sourcetype=web status=403 | top src_ip, the search takes over 5 minutes to complete and sometimes times out. The team needs a faster approach that still accurately identifies the top IPs. The team's Splunk environment uses indexers and a search head. The data is not accelerated. What should the team do to improve search performance?
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
Create a report acceleration summary for the search or implement summary indexing
Option D is correct because report acceleration or summary indexing pre-computes and stores the results of the search, allowing subsequent runs to retrieve the aggregated data almost instantly. Given the environment has indexers and a search head but no acceleration, enabling report acceleration on the search creates a summary that updates periodically, bypassing the need to scan all raw events each time. This directly addresses the timeout issue by reducing the per-search data volume to the pre-built summary.
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.
- ✗
Replace 'top' with 'rare' to reduce the amount of data processed
Why it's wrong here
Rare is even more resource-intensive than top.
- ✗
Use 'stats count by src_ip | sort - count | head 10' instead of top
Why it's wrong here
This is essentially the same operation as top, with no performance gain.
- ✗
Add 'fields src_ip' before top to remove other fields
Why it's wrong here
While fields can help, the bottleneck is the aggregation, not field width.
- ✓
Create a report acceleration summary for the search or implement summary indexing
Why this is correct
Acceleration pre-computes results, so on-demand searches are fast.
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 often think minor command changes (like using 'stats' instead of 'top' or adding 'fields') will significantly improve performance, when in reality the bottleneck is the full scan of 10 million events, which only data aggregation techniques like summary indexing or report acceleration can solve.
Detailed technical explanation
How to think about this question
Report acceleration works by creating a summary of the search results that is updated on a schedule (e.g., every hour) and stored in the summary index. When the same search is run again, Splunk queries the summary index instead of the raw data, dramatically reducing I/O and CPU usage. In a multi-indexer environment, the search head coordinates the summary building across indexers, and the summary is stored on the search head or a dedicated summary index, making it ideal for high-volume, repetitive searches like top IPs over 24 hours.
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.
- →
Basic Searching and Transforming Commands — study guide chapter
Learn the concepts, then practise the questions
- →
Basic Searching and Transforming Commands practice questions
Targeted practice on this topic area only
- →
All SPLK-1002 questions
510 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?
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: Create a report acceleration summary for the search or implement summary indexing — Option D is correct because report acceleration or summary indexing pre-computes and stores the results of the search, allowing subsequent runs to retrieve the aggregated data almost instantly. Given the environment has indexers and a search head but no acceleration, enabling report acceleration on the search creates a summary that updates periodically, bypassing the need to scan all raw events each time. This directly addresses the timeout issue by reducing the per-search data volume to the pre-built summary.
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 →
Last reviewed: Jun 24, 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.