SPLK-1001 Splunk Basics and Interface Navigation Practice Question
You are a Splunk administrator at a mid-sized company that uses Splunk Enterprise to monitor application logs from a web server cluster. The cluster has five servers, each sending logs via a universal forwarder to a single indexer. The indexer has ample resources. Recently, users have complained that searches for the last 24 hours are slow, but searches for the last hour are fast. The data volume is about 50 GB per day. You suspect the issue is related to how data is stored or indexed. Which action should you take first to improve search performance for the 24-hour time range?
⚠ Common exam trap
The trap here is that candidates often focus on scaling infrastructure (adding indexers or increasing parallelism) rather than reducing unnecessary data volume, which is the most direct and cost-effective fix for slow searches over longer time ranges.
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
✓
Exclude internal Splunk logs (splunkd.log) from being indexed by setting up appropriate input configurations on forwarders.
Internal Splunk logs (splunkd.log) can generate significant volume and are indexed by default, consuming resources and slowing searches over longer time ranges. Excluding them on the forwarders reduces the total indexed data, improving search performance for the 24-hour window without affecting application log searches.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the number of parallel search processes in the indexes.conf settings.
Why it's wrong here
Parallel search helps concurrent searches, not the speed of a single search over large time range.
- ✗
Add a second indexer and distribute incoming data using load balancing.
Why it's wrong here
Distribution helps with indexing throughput but not necessarily search speed; searches still need to query all indexers.
- ✓
Exclude internal Splunk logs (splunkd.log) from being indexed by setting up appropriate input configurations on forwarders.
Why this is correct
Internal logs can significantly increase volume; excluding them reduces index size and improves search performance.
- ✗
Reduce the retention period for the index from 90 days to 30 days.
Why it's wrong here
Reducing retention is a long-term solution and may not address immediate performance; also, it could result in data loss.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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