- A
Acceleration only works on indexed fields; extracted fields are not accelerated.
Why wrong: Acceleration can include extracted fields as long as they are defined in the data model.
- B
When acceleration is built, searches using the data model may use the `tstats` command for faster retrieval.
tstats reads the tsidx files directly.
- C
Acceleration must be explicitly enabled on the data model.
Acceleration is off by default; you must enable it on the data model's settings page.
- D
You must set a summary range to define how much historical data to accelerate.
Without a summary range, only a small default window is accelerated.
- E
Acceleration uses summary indexes to store precomputed results.
Why wrong: Acceleration creates its own binary index (tsidx) files, not summary indexes.
- F
Acceleration requires that all data model constraints be defined with field aliases.
Why wrong: Constraints can use tags or searches; aliases are optional.
SPLK-1003 Macros, Saved Searches and CIM Practice Question
This SPLK-1003 practice question tests your understanding of macros, saved searches and cim. 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.
Which THREE of the following are true considerations when using CIM data model acceleration? (Select exactly 3.)
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
When acceleration is built, searches using the data model may use the `tstats` command for faster retrieval.
Options B, C, and E are correct. Option A is false: acceleration uses `tsidx` files, not summary indexes. Option D is false: acceleration works on indexed and extracted fields. Option F is not a primary consideration for acceleration.
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.
- ✗
Acceleration only works on indexed fields; extracted fields are not accelerated.
Why it's wrong here
Acceleration can include extracted fields as long as they are defined in the data model.
- ✓
When acceleration is built, searches using the data model may use the `tstats` command for faster retrieval.
Why this is correct
tstats reads the tsidx files directly.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Acceleration must be explicitly enabled on the data model.
Why this is correct
Acceleration is off by default; you must enable it on the data model's settings page.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
You must set a summary range to define how much historical data to accelerate.
Why this is correct
Without a summary range, only a small default window is accelerated.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Acceleration uses summary indexes to store precomputed results.
Why it's wrong here
Acceleration creates its own binary index (tsidx) files, not summary indexes.
- ✗
Acceleration requires that all data model constraints be defined with field aliases.
Why it's wrong here
Constraints can use tags or searches; aliases are optional.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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-1003 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 SPLK-1003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Macros, Saved Searches and CIM — study guide chapter
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Macros, Saved Searches and CIM practice questions
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FAQ
Questions learners often ask
What does this SPLK-1003 question test?
Macros, Saved Searches and CIM — This question tests Macros, Saved Searches and CIM — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: When acceleration is built, searches using the data model may use the `tstats` command for faster retrieval. — Options B, C, and E are correct. Option A is false: acceleration uses `tsidx` files, not summary indexes. Option D is false: acceleration works on indexed and extracted fields. Option F is not a primary consideration for acceleration.
What should I do if I get this SPLK-1003 question wrong?
Identify which SPLK-1003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 24, 2026
This SPLK-1003 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-1003 exam.
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