The answer is that the data model has not been accelerated, and the user is running |tstats without the summariesonly=t option. This is correct because the |tstats command is designed to query precomputed summary statistics from accelerated data models, not raw events; without acceleration, there are no summaries to search, so it returns zero results, while a raw search works because it queries the index directly. On the Splunk SPLK-1002 exam, this question tests your understanding of how data model acceleration and the |tstats command interact—a common trap is assuming |tstats works like a normal search over any data model. Remember, |tstats is a summary-only command: if the data model isn’t accelerated, you must add summariesonly=t to force it to look for summaries, but even then, none exist, so you still get no results. A quick memory tip: “No acceleration, no tstats satisfaction.”
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 user has created a data model for firewall logs and wants to use it to generate a report showing top source IPs. They attempt to run a search using the data model but receive no results, even though a simple search over the same index returns many events. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The data model has not been accelerated, and the user is using |tstats without the 'summariesonly=t' option.
Option B is correct because when a data model is not accelerated, the `|tstats` command cannot query it directly unless the `summariesonly=t` argument is used, which forces the search to look only at accelerated summaries. Without acceleration, `|tstats` returns no results because it expects precomputed summary data. A simple search over the same index works because it queries raw events directly, bypassing the data model's summary structure.
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 user lacks the 'run_data_model' capability.
Why it's wrong here
That capability is needed to access the data model, but would likely cause a different error.
✓
The data model has not been accelerated, and the user is using |tstats without the 'summariesonly=t' option.
Why this is correct
|tstats by default uses acceleration summaries; if not accelerated, returns 0.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The time range is outside the data model's acceleration summary.
Why it's wrong here
Even without acceleration, the data model can be searched raw.
✗
The data model definition contains a syntax error in the constraint field.
Why it's wrong here
A syntax error would prevent saving the data model.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume `|tstats` can always query any data model directly, forgetting that it requires precomputed acceleration summaries to return results.
Detailed technical explanation
How to think about this question
Under the hood, `|tstats` operates on TSIDX (time-series index) files generated by data model acceleration, not on raw events in the index. If acceleration is disabled or the summaries are out of date, `|tstats` has no TSIDX data to query and returns no results. In a real-world scenario, an admin might accelerate a data model for a large firewall log dataset, then use `|tstats` to quickly aggregate top source IPs; without acceleration, they must fall back to `|search` or `|stats` over raw events.
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 — 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 data model has not been accelerated, and the user is using |tstats without the 'summariesonly=t' option. — Option B is correct because when a data model is not accelerated, the `|tstats` command cannot query it directly unless the `summariesonly=t` argument is used, which forces the search to look only at accelerated summaries. Without acceleration, `|tstats` returns no results because it expects precomputed summary data. A simple search over the same index works because it queries raw events directly, bypassing the data model's summary structure.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A user notices that a data model designed for web server logs is not showing any events in the 'Web' object, even though the underlying logs are searched correctly with a normal search. The root events are pulling from the 'main' index, and the data model uses constraints. Which of the following is the most likely cause?
medium
A.The time range picker is set to a period outside the acceleration summary's range.
B.The data model definition includes calculated fields that require specific field extractions.
C.The user does not have permissions to run the data model, so events are hidden.
✓ D.The constraint defined in the data model's root event is too restrictive and excludes all events.
Why D: The most likely cause is that the constraint defined in the data model's root event is too restrictive and excludes all events. Data model constraints act as a filter on the underlying index data; if the constraint condition (e.g., `sourcetype=access_combined`) does not match any events in the 'main' index, the root event will be empty, even though a normal search without the constraint returns results. This is a common misconfiguration when the constraint is too narrow or uses incorrect field values.
Last reviewed: Jun 24, 2026
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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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