- A
The acceleration summary for that data model has not been rebuilt recently, causing outdated data.
Why wrong: Outdated summary would affect accuracy, not speed.
- B
The report is using the data model incorrectly; it should use |datamodel instead of |tstats.
Why wrong: tstats is the recommended way to search accelerated data models.
- C
The field used in the filter is not defined as a constraint field in the data model, so tstats cannot use acceleration for that filter.
Filtering on non-constraint fields forces full event search.
- D
The time range is too broad, causing the acceleration summary to include too many events.
Why wrong: Broad time range might be slower but not specifically due to field type.
SPLK-1002 Data Models and Best Practices Practice Question
This SPLK-1002 practice question tests your understanding of data models and best practices. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 Splunk admin is troubleshooting a slow report that uses an accelerated data model. The report uses tstats commands and filters on a field that is not a constraint field in the data model. Which of the following best explains why the report is slow?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 field used in the filter is not defined as a constraint field in the data model, so tstats cannot use acceleration for that filter.
C is correct because `tstats` relies on acceleration summaries that are built only for fields defined as constraint fields in the data model. When a filter is applied on a non-constraint field, `tstats` cannot use the pre-computed acceleration summary and must fall back to scanning the raw events, which significantly degrades performance.
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.
- ✗
The acceleration summary for that data model has not been rebuilt recently, causing outdated data.
Why it's wrong here
Outdated summary would affect accuracy, not speed.
- ✗
The report is using the data model incorrectly; it should use |datamodel instead of |tstats.
Why it's wrong here
tstats is the recommended way to search accelerated data models.
- ✓
The field used in the filter is not defined as a constraint field in the data model, so tstats cannot use acceleration for that filter.
Why this is correct
Filtering on non-constraint fields forces full event search.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The time range is too broad, causing the acceleration summary to include too many events.
Why it's wrong here
Broad time range might be slower but not specifically due to field type.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume `tstats` always uses acceleration regardless of the fields involved, but Splunk specifically restricts acceleration to constraint fields defined in the data model.
Detailed technical explanation
How to think about this question
Under the hood, data model acceleration creates a TSIDX (time-series index) that stores pre-aggregated statistics only for constraint fields and their combinations. When `tstats` encounters a filter on a non-constraint field, it cannot use the TSIDX and instead performs a full scan of the underlying raw data, which can be orders of magnitude slower. In real-world scenarios, this often catches administrators off guard when they add a filter on a field like `user` that was not marked as a constraint during data model design.
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.
- →
Data Models and Best Practices — study guide chapter
Learn the concepts, then practise the questions
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FAQ
Questions learners often ask
What does this SPLK-1002 question test?
Data Models and Best Practices — This question tests Data Models and Best Practices — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The field used in the filter is not defined as a constraint field in the data model, so tstats cannot use acceleration for that filter. — C is correct because `tstats` relies on acceleration summaries that are built only for fields defined as constraint fields in the data model. When a filter is applied on a non-constraint field, `tstats` cannot use the pre-computed acceleration summary and must fall back to scanning the raw events, which significantly degrades performance.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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-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.
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