SPLK-1002 Advanced Visualization and Lookups Practice Question
A large CSV lookup file (over 10 million rows) is causing search performance degradation. Which solution best improves performance without sacrificing accuracy?
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
✓
Convert to a KV Store lookup and update the collection as needed
KV Store lookups provide indexed lookups and can be updated without reindexing, improving performance for large, dynamic datasets. Option A is incorrect because increasing max_memory in transforms.conf does not fundamentally improve lookup efficiency for large CSV files. Option B is incorrect because index-time lookups require reindexing and are not suitable for frequently changing data. Option D is incorrect because reducing the CSV file to only the most common keys would lose accuracy for less common lookup keys.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the max_memory setting in transforms.conf
Why it's wrong here
Increasing max_memory in transforms.conf does not fundamentally improve lookup efficiency for large CSV files; it only adjusts memory limits.
- ✗
Convert to an index-time lookup with automatic re-indexing
Why it's wrong here
Index-time lookups require reindexing and are not suitable for frequently changing data; they can also cause performance issues at index time.
- ✓
Convert to a KV Store lookup and update the collection as needed
Why this is correct
KV Store lookups provide indexed lookups and can be updated without reindexing, improving performance for large, dynamic datasets.
- ✗
Reduce the CSV file to only the most common lookup keys
Why it's wrong here
Reducing the CSV file to only the most common lookup keys would lose accuracy because less common keys would not be found.
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