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Using Fields and LookupsmediumMultiple ChoiceObjective-mapped

SPLK-1001 Using Fields and Lookups Practice Question

Your team uses a large CSV lookup 'users.csv' with 200,000 rows. When running searches that use this lookup via the lookup command, performance is slow. Which action would most improve performance?

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

Add an index to the lookup file by converting to KV Store

To improve performance with a large CSV lookup (200,000 rows), converting it to a KV Store (Option C) is the best choice because KV Store lookups are indexed, making field matching much faster than searching the entire CSV file each time. Option A (external lookup) is wrong because querying a database adds network and database overhead, often slowing performance further. Option B (increasing timeout) does not speed up the lookup; it only prevents timeouts during long operations. Option D (increasing max_matches) controls how many matching results are returned, but does not affect the speed of the lookup operation itself.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Switch to an external lookup that queries a database

    Why it's wrong here

    External lookups are generally slower.

  • Increase the lookup timeout value

    Why it's wrong here

    Timeout is for failure, not performance.

  • Add an index to the lookup file by converting to KV Store

    Why this is correct

    KV Store allows indexing on fields, speeding up lookups.

  • Increase the max_matches setting for the lookup

    Why it's wrong here

    max_matches controls number of matches, not speed.

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Written by Johnson Ajibi, MSc IT Security

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