SPLK-1002 Macros, Saved Searches and CIM Practice Question
A Splunk admin is accelerating a CIM data model for the "Network_Traffic" dataset. After acceleration, some searches that use the data model are slower than expected. What is the most likely reason?
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
✓
The acceleration summary range is set too low
Data model acceleration works by creating a summary of data within a specified time range (the summary range). If the summary range is set too low, searches that span beyond that range will not benefit from acceleration and may be slower as they have to scan the full raw data. Option A is incorrect; acceleration selects specific fields. Option B is false; CIM data models are compatible with acceleration. Option C is less specific and not the most likely reason.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The acceleration uses too many fields
Why it's wrong here
Incorrect: Acceleration indexes specific fields, not all.
- ✗
The data model acceleration is not compatible with the CIM
Why it's wrong here
Incorrect: CIM data models support acceleration.
- ✗
Searches are not using the `| datamodel` command correctly
Why it's wrong here
Incorrect: This is possible but less likely than range issue.
- ✓
The acceleration summary range is set too low
Why this is correct
Correct: A low summary range excludes older data from acceleration.
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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.