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SPLK-1001 Practice Question: A data model is set to accelerate with a summary…
A data model is set to accelerate with a summary range of 90 days. After some time, the administrator notices that the acceleration is using significant disk space. Which strategy would best reduce disk usage without losing the ability to quickly query the last 30 days of data?
⚠ Common exam trap
Many candidates think reducing the summary range would lose all acceleration, but Splunk's acceleration engine automatically purges only the summaries outside the new range, preserving fast queries for the remaining window.
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
✓
Reduce the summary range to 30 days.
Reducing the summary range to 30 days directly aligns with the requirement: it stops the acceleration from pre-computing and storing summaries for data older than 30 days, freeing disk space while still providing accelerated query performance for the most recent 30 days. The summary range defines how far back the acceleration engine pre-aggregates data; a shorter range means fewer stored results.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the acceleration to use a shorter time window for complete summarization.
Why it's wrong here
The summary range already controls the window; there is no separate 'time window' setting.
- ✓
Reduce the summary range to 30 days.
Why this is correct
This reduces the amount of accelerated data, saving space while preserving fast queries on recent data.
- ✗
Increase the summary range to 180 days.
Why it's wrong here
This would increase disk usage.
- ✗
Disable acceleration for the data model.
Why it's wrong here
This eliminates acceleration benefits for all queries.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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