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SPLK-1001 Practice Question: Which TWO of the following are common pitfalls…
Which TWO of the following are common pitfalls when using data models that can lead to inaccurate pivot results? (Choose two.)
⚠ Common exam trap
Splunk often tests the misconception that acceleration settings or dataset count are the primary causes of pivot inaccuracy, when in fact the root cause is usually missing or incorrect constraints on the root event.
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
✓
Not including a constraint on the root event that filters out irrelevant data.
A root event in a data model defines the base dataset for all pivots. Without a constraint that filters out irrelevant events (e.g., sourcetype=access_combined), the pivot will include all indexed data, leading to inaccurate aggregations and counts. This is a common pitfall as it violates the principle of scoping the data model to only the necessary events.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using calculated fields that reference other calculated fields.
Why it's wrong here
Chained calculated fields are allowed and evaluated correctly.
- ✗
Adding too many child datasets to a root event.
Why it's wrong here
Child datasets add structure, not inaccuracy.
- ✗
Using acceleration with a short summary range.
Why it's wrong here
Short summary range may cause incomplete results but not inaccuracy if within range.
- ✓
Not including a constraint on the root event that filters out irrelevant data.
Why this is correct
Missing constraints may include unwanted events, skewing pivot results.
- ✓
Defining a field with an incorrect type (e.g., number as string).
Why this is correct
Wrong field types cause incorrect calculations in pivots.
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About these practice questions
This SPLK-1001 question is part of Courseiva's 502-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.