SPLK-1001 Practice Question: Creating Reports, Dashboards and Visualizations
A company has a dashboard that uses a base search and four post-process searches to display metrics. The dashboard loads slowly. The base search returns 10,000 results and each post-process search further filters. The infrastructure team suggests using tstats to improve performance. Which approach is best?
⚠ Common exam trap
Splunk often tests the misconception that tstats can be used as a drop-in replacement for any search without considering the prerequisite of an accelerated data model or summary index, leading candidates to pick options that misuse tstats in post-process searches without addressing the base search's performance bottleneck.
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
✓
Accelerate the data model used by the base search and use tstats in the post-process searches
Tstats is optimized to run against accelerated data models, which pre-aggregate statistics and dramatically reduce the time needed to compute metrics. By accelerating the data model used by the base search, the base search itself becomes faster, and using tstats in the post-process searches leverages that acceleration to filter and aggregate results without scanning raw events. This combination addresses the root cause of slow performance—scanning 10,000 raw results in post-process searches—by moving computation to the indexed, pre-summarized data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the tstats command in each post-process search without changing the base search
Why it's wrong here
Without acceleration, tstats may not be faster than regular searches.
- ✗
Replace all searches with a single tstats search and use eval in the dashboard
Why it's wrong here
A single tstats may not support multiple distinct visualizations efficiently.
- ✗
Use tstats only in the base search and keep the post-process searches as they are
Why it's wrong here
Post-process searches remain slow without acceleration.
- ✓
Accelerate the data model used by the base search and use tstats in the post-process searches
Why this is correct
Acceleration and tstats optimize both base and post-process searches, improving performance.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SPLK-1001 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-1001 exam.