SPLK-1002 Data Models and Best Practices Practice Question
This SPLK-1002 practice question tests your understanding of data models and best practices. 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.
Which TWO actions should be taken to optimize data model acceleration?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Set the acceleration time range to cover the most common reporting period.
Option C is correct because setting the acceleration time range to cover the most common reporting period ensures that the data model's acceleration summary only builds and stores data for the time window users query most frequently. This reduces storage overhead and speeds up acceleration builds, as Splunk does not waste resources pre-computing summaries for rarely accessed older data. The acceleration time range is configured in the data model's acceleration settings and directly controls the scope of the tsidx files created.
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.
✗
Disable field filtering in Pivot.
Why it's wrong here
Field filtering is unrelated to acceleration optimization.
✗
Use data model acceleration only for root datasets.
Why it's wrong here
Acceleration can be applied to child datasets as well.
✓
Set the acceleration time range to cover the most common reporting period.
Why this is correct
This ensures the summary data covers the needed time range.
Related concept
Read the scenario before looking for a memorised answer.
✗
Add constraints to each dataset to limit events.
Why it's wrong here
Constraints improve data quality but are not specifically for acceleration optimization.
✓
Enable acceleration on the data model.
Why this is correct
Enabling acceleration is required for accelerated Pivot reports.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Splunk often tests the misconception that acceleration should be applied only to root datasets (Option B), but in reality, acceleration can be enabled on any dataset within a data model, and doing so on frequently queried child datasets is a key optimization strategy.
Detailed technical explanation
How to think about this question
Under the hood, data model acceleration creates tsidx (time-series index) files that store pre-aggregated statistics for the specified time range. The acceleration time range is enforced via the `acceleration.duration` setting in the data model's JSON definition, and Splunk's summary builder uses this to prune old data from the acceleration summaries during each rebuild cycle. In a real-world scenario, if a team primarily reports on the last 30 days but the acceleration is set to 1 year, the summary builder will waste I/O and CPU resources maintaining tsidx files for 11 months of rarely queried data, leading to slower search performance and higher storage consumption.
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: Set the acceleration time range to cover the most common reporting period. — Option C is correct because setting the acceleration time range to cover the most common reporting period ensures that the data model's acceleration summary only builds and stores data for the time window users query most frequently. This reduces storage overhead and speeds up acceleration builds, as Splunk does not waste resources pre-computing summaries for rarely accessed older data. The acceleration time range is configured in the data model's acceleration settings and directly controls the scope of the tsidx files created.
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.
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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