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SPLK-1001 Practice Question: A data model has been accelerated but some Pivot…

A data model has been accelerated but some Pivot reports are showing incomplete data. What is the most likely cause?

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

The acceleration summary range does not cover the full time range of the report.

Data model acceleration creates a summary of events over a specific time range (default is last 7 days). If a Pivot report searches outside that acceleration summary range, it will only use the accelerated data within that range, resulting in incomplete data. Option B is incorrect because having many fields does not cause incomplete data; it may affect performance but not completeness. Option C is incorrect because normalization is about data structure, not acceleration coverage. Option D is incorrect because conflicting search-time field extractions do not affect acceleration summary completeness.

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 acceleration summary range does not cover the full time range of the report.

    Why this is correct

    Acceleration only summarizes data within its configured time range.

  • The data model has too many fields.

    Why it's wrong here

    Field count does not affect data completeness.

  • The data model is not normalized.

    Why it's wrong here

    Normalization does not affect data completeness.

  • The search time field extractions are conflicting.

    Why it's wrong here

    Conflicting extractions may cause missing values but not incomplete data in the sense of missing events.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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