The answer is that the tstats command returns partial results because it relies on summary data, which may not cover all time ranges. This occurs because tstats operates on indexed-time summary data stored in tsidx files rather than raw events, and this summary data is only generated during indexing based on data model acceleration or summary indexing configurations. If the acceleration has not been built for certain periods or the data model is not fully accelerated, gaps in the timeline and incomplete results for some sourcetypes are inevitable. On the Splunk Core Certified User SPLK-1002 exam, this question tests your understanding of how tstats differs from search—a common trap is assuming tstats queries all raw data like a regular search, but it only queries pre-aggregated summaries. Remember the memory tip: “tstats is fast but not full—it skips unaccelerated gaps.”
SPLK-1002 Practice Question: Creating Reports, Dashboards and Visualizations
This SPLK-1002 practice question tests your understanding of creating reports, dashboards and visualizations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Exhibit
| tstats summariesonly=t count where index=main by _time, sourcetype span=1h
| timechart count by sourcetype
Refer to the exhibit. The timechart returns only partial results for some sourcetypes, and there are gaps in the timeline. Which is the most likely reason?
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 tstats command only uses summary data, which may not cover all time ranges
The `tstats` command in Splunk operates on indexed-time summary data stored in the tsidx files, not on raw events. This summary data is generated during indexing based on the data model acceleration or summary indexing configuration, and it may not cover all time ranges if the acceleration has not been built for those periods or if the data model is not fully accelerated. As a result, `tstats` can return partial results and gaps in the timeline, especially when the time range extends beyond the accelerated data coverage.
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 timechart span=1h conflicts with the tstats span
Why it's wrong here
Both use 1-hour spans; there is no conflict; the timechart simply uses the aggregated data.
✓
The tstats command only uses summary data, which may not cover all time ranges
Why this is correct
summariesonly=t restricts tstats to precomputed summaries; if the summary is incomplete, results will have gaps.
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 sourcetype field is not summarized
Why it's wrong here
Sourcetype is a common field and is typically included in summary data models.
✗
The where clause is invalid
Why it's wrong here
The where clause is valid syntax for tstats.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that `tstats` behaves like `search` or `stats` and can access all raw events, but the trap here is that candidates overlook the fact that `tstats` is limited to summary data and may not cover all time ranges if acceleration is incomplete or not configured.
Detailed technical explanation
How to think about this question
Under the hood, `tstats` reads from the `.tsidx` files that store pre-aggregated statistics (like count, sum, and values for indexed fields) for each time bucket. Data model acceleration creates these summaries for specific time ranges (e.g., last 7 days, last 30 days) based on the acceleration policy. If the search time range extends beyond the accelerated window, `tstats` returns only the accelerated portion, leaving gaps. In real-world scenarios, this is common when a user runs a `tstats` search over a year-long range but the data model is only accelerated for the last 30 days, causing partial results for older data.
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.
Creating Reports, Dashboards and Visualizations — This question tests Creating Reports, Dashboards and Visualizations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The tstats command only uses summary data, which may not cover all time ranges — The `tstats` command in Splunk operates on indexed-time summary data stored in the tsidx files, not on raw events. This summary data is generated during indexing based on the data model acceleration or summary indexing configuration, and it may not cover all time ranges if the acceleration has not been built for those periods or if the data model is not fully accelerated. As a result, `tstats` can return partial results and gaps in the timeline, especially when the time range extends beyond the accelerated data coverage.
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.
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Question Discussion
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