The correct answer is to reduce the max memory for the indexer process in limits.conf. This directly addresses the indexer out of memory crash by capping the Splunk heap size via the maxMemMB parameter, ensuring the indexer never consumes more RAM than the system can safely provide during peak indexing loads. On the SPLK-1002 exam, this scenario tests your understanding of Splunk’s memory management and the limits.conf configuration file, a common trap being that administrators often jump to adding hardware instead of tuning existing software settings. Remember the mnemonic “MOM” — Memory Out? Modify limits.conf — to recall that software tuning comes before hardware upgrades when preventing indexer crashes.
SPLK-1002 Splunk Basics and Interface Navigation Practice Question
This SPLK-1002 practice question tests your understanding of splunk basics and interface navigation. 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.
A medium-sized enterprise uses Splunk Enterprise with a single indexer and one search head. They have 50 universal forwarders sending data from web servers, application servers, and database logs. Recently, the indexer crashed during peak hours. The administrator restarted the indexer and it came back up. After analyzing the crash log, they found that the indexer ran out of memory. The indexer has 16 GB RAM and the default memory settings. The daily indexing volume is about 20 GB. The administrator is concerned about stability. They want to prevent future crashes without adding hardware. What should they do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduce the max memory for the indexer process in limits.conf
Option C is correct because the indexer crashed due to running out of memory with 16 GB RAM and default settings. Reducing the max memory for the indexer process in limits.conf (specifically the maxMemMB parameter) limits the heap size used by Splunk, preventing out-of-memory (OOM) kills during peak indexing loads. This is a software-level tuning that avoids hardware upgrades by capping memory consumption to a safe level below the physical RAM.
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.
✗
Reduce the number of forwarders sending data
Why it's wrong here
Would reduce load but not the best first step; might lose data.
✗
Switch universal forwarders to heavy forwarders
Why it's wrong here
Heavy forwarders use more resources, not directly addressing indexer memory.
✓
Reduce the max memory for the indexer process in limits.conf
Why this is correct
This reduces memory usage and prevents crashes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the max memory for the indexer process in limits.conf
Why it's wrong here
Would increase memory usage, worsening the crash.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing memory allocation solves performance issues, but in a constrained environment with a single indexer, reducing memory prevents OOM crashes, while increasing it would worsen the problem.
Detailed technical explanation
How to think about this question
The limits.conf file controls the Splunk process heap size via the maxMemMB setting; by default, Splunk uses up to 95% of available RAM, which can lead to OOM kills when combined with OS overhead and other processes. Reducing this value to, for example, 8192 MB (8 GB) ensures the indexer stays within physical memory limits, allowing the OS to handle I/O caching and other services. In real-world scenarios, administrators also monitor the splunkd.log for 'Out of memory' errors and adjust the value iteratively based on peak indexing throughput.
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.
Splunk Basics and Interface Navigation — This question tests Splunk Basics and Interface Navigation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Reduce the max memory for the indexer process in limits.conf — Option C is correct because the indexer crashed due to running out of memory with 16 GB RAM and default settings. Reducing the max memory for the indexer process in limits.conf (specifically the maxMemMB parameter) limits the heap size used by Splunk, preventing out-of-memory (OOM) kills during peak indexing loads. This is a software-level tuning that avoids hardware upgrades by capping memory consumption to a safe level below the physical RAM.
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.
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Question Discussion
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