The answer is that the lookup used in the calculated field was updated after the acceleration summary was built, causing a mismatch. This is because an accelerated data model pre-computes and stores a static summary snapshot at the time of acceleration; when you run |tstats, it queries that stale summary rather than re-evaluating the live lookup table. On the Splunk SPLK-1002 exam, this tests your understanding of how acceleration interacts with lookups in calculated fields—a common trap is assuming |tstats always reflects current data. The key distinction is that |tstats bypasses real-time lookups for accelerated models, so an accelerated data model lookup can yield stale results if the lookup table changes. Remember: accelerated summaries are frozen in time, so if your lookup updates, rebuild the acceleration to avoid incorrect values.
SPLK-1002 Data Models and Best Practices Practice Question
This SPLK-1002 practice question tests your understanding of data models and best practices. 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.
A company has a data model for email logs that includes a calculated field named 'sentiment_score' derived from a lookup. The data model is accelerated, but some reports using |tstats with 'sentiment_score' are returning incorrect values. What 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 lookup used in the calculated field has been updated after the acceleration summary was built, causing a mismatch.
Option D is correct because when a data model is accelerated, it pre-computes and stores a summary of the data at the time of acceleration. If the lookup used in a calculated field (like 'sentiment_score') is updated after the acceleration summary is built, the |tstats command will query the stale summary, not the current lookup values. This mismatch causes incorrect results, as |tstats does not re-evaluate lookups against the live lookup table for accelerated data models.
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 data model constraint excludes the events that contain the lookup values.
Why it's wrong here
This would cause missing data, not incorrect values.
✗
The |tstats command does not support calculated fields in accelerated data models.
Why it's wrong here
tstats supports calculated fields when they are defined in the data model.
✗
The calculated field is defined incorrectly in the data model editor.
Why it's wrong here
If incorrectly defined, it would not work at all.
✓
The lookup used in the calculated field has been updated after the acceleration summary was built, causing a mismatch.
Why this is correct
Acceleration snapshots cache calculated values at build time; changes to lookups after rebuild cause stale data.
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume |tstats always queries live data, but they forget that accelerated data models serve pre-computed summaries, so any dynamic component like a lookup must be re-evaluated by rebuilding the acceleration.
Detailed technical explanation
How to think about this question
Under the hood, data model acceleration creates a TSIDX (time-series index) file that stores pre-aggregated results. When a lookup is used in a calculated field, the acceleration process evaluates the lookup at build time and stores the resulting values. Subsequent |tstats queries read from this static TSIDX, not the live lookup table. This means any changes to the lookup file (e.g., updated CSV or KV store collection) after acceleration will not be reflected until the acceleration is rebuilt or the data model is re-accelerated.
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 lookup used in the calculated field has been updated after the acceleration summary was built, causing a mismatch. — Option D is correct because when a data model is accelerated, it pre-computes and stores a summary of the data at the time of acceleration. If the lookup used in a calculated field (like 'sentiment_score') is updated after the acceleration summary is built, the |tstats command will query the stale summary, not the current lookup values. This mismatch causes incorrect results, as |tstats does not re-evaluate lookups against the live lookup table for accelerated data models.
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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