Courseiva
Performance TuninghardMultiple SelectObjective-mapped

SPLK-2002 Performance Tuning Practice Question

Which TWO methods are recommended to optimize search performance when dealing with large datasets?

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

Use data models and acceleration

Using indexed fields and leveraging data models are the two most effective ways to optimize searches.

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 data models and acceleration

    Why this is correct

    Pre-calculates data for fast retrieval.

  • Use the 'transaction' command

    Why it's wrong here

    Transaction is extremely slow and memory-intensive.

  • Increase the number of indexers

    Why it's wrong here

    Doesn't fix inefficient search queries.

  • Filter searches using indexed fields

    Why this is correct

    Limits the data read from disk.

  • Disable all authentication

    Why it's wrong here

    Security risk, not a performance optimization.

About these practice questions

This SPLK-2002 question is part of Courseiva's 185-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 →

How Courseiva writes practice questions · Editorial policy

JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Splunk exam blueprint

This SPLK-2002 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-2002 exam.