SPLK-1002 Advanced Searching and Statistics Practice Question
A network operations team uses Splunk to analyze firewall logs. They need to identify top talkers (source IPs with highest total bytes) over the last hour. The current search: 'index=firewall | stats sum(bytes) as totalBytes by src_ip | sort -totalBytes | head 10' takes 5 minutes to complete. They want to make it faster. The environment has 5 indexers with default configurations. The data volume is 100 GB/day. Which action will most improve search performance?
⚠ Common exam trap
The trap here is that candidates may overlook the most fundamental Splunk optimization—explicit time range—and instead focus on command-level tweaks like 'limit' or parallelism, which have negligible or negative impact on 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
✓
Add 'earliest=-1h' to the search to restrict the time range explicitly.
Explicitly adding 'earliest=-1h' restricts the search to the last hour at the search head level, allowing Splunk to use time-based index metadata to skip irrelevant buckets entirely. Without an explicit time range, Splunk may scan all available data, dramatically increasing I/O and search time. This is the most impactful optimization for time-bound searches over large datasets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Add 'earliest=-1h' to the search to restrict the time range explicitly.
Why this is correct
Limits the data scanned by the indexers from the start.
- ✗
Replace head 10 with limit 10 at the end of the pipeline.
Why it's wrong here
head and limit have similar functionality; this does not reduce the amount of data aggregated.
- ✗
Use map to run the search per indexer.
Why it's wrong here
map is for running searches per result, not for parallelization.
- ✗
Set the search's parallelism to 'auto' in the commands.
Why it's wrong here
Splunk already parallelizes by default; this doesn't reduce data volume.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.