SPLK-1002 Advanced Visualization and Lookups Practice Question
Which THREE factors should be considered when deciding between using a lookup table and a KV store for enriching data?
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
✓
KV store collections can be updated in real-time via REST API.
The correct factors are B, C, and D. B is correct because KV stores can be updated in real-time via REST API, while lookup tables are typically static files. C is correct because KV store collections can be used with the 'kv' command for search-time operations, whereas lookup tables use 'inputlookup' or 'lookup'. D is correct because lookup tables can support time-based lookups using time fields, which is a feature not available in KV stores. A is incorrect because 'inputlookup' is for file-based lookups, not KV stores; KV store collections are typically accessed with the 'kv' command. E is incorrect because KV stores are generally faster and more scalable for large datasets due to their database-backed storage and indexing, while CSV lookup files can become slow when dealing with very large data sets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
KV store collections can be used with the 'inputlookup' command.
Why it's wrong here
inputlookup is for CSV/static lookups, not KV store.
- ✓
KV store collections can be updated in real-time via REST API.
Why this is correct
KV store supports real-time updates.
- ✓
KV store collections can be used with the 'kv' command.
Why this is correct
The 'kv' command is designed for KV store.
- ✓
Lookup tables support time-based lookups.
Why this is correct
Time-based lookups are a feature of static lookups.
- ✗
Lookup tables are faster for large datasets.
Why it's wrong here
KV store is typically faster for large datasets.
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