ARA-C01 Snowflake Architecture Practice Question
A Snowflake architect is evaluating the use of Search Optimization Service for a large table that is frequently queried with highly selective filters on a column with high cardinality, such as a UUID. The architect wants to understand the benefits and limitations of enabling Search Optimization Service on this column. Which two statements are true regarding Search Optimization Service? (Choose two.)
⚠ Common exam trap
The trap here is assuming Search Optimization Service automatically applies to all columns or works for any string pattern, when it requires explicit column selection and does not support leading wildcards.
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
✓
Enabling Search Optimization Service on a column increases storage costs due to the additional search access path.
Search Optimization Service improves performance for highly selective queries using equality and IN predicates on optimized columns, and it incurs additional storage costs. It does not automatically optimize all columns, is ineffective for leading wildcards, and is not intended for join optimization. These characteristics make it suitable for point lookups on high-cardinality columns like UUIDs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Search Optimization Service can be used to optimize joins between two large tables on the optimized column.
Why it's wrong here
Search Optimization Service is designed to speed up selective filters on a single table, not to optimize join operations. Joins benefit from other techniques like clustering or materialized views. Using Search Optimization for joins may not yield performance improvements and could waste resources.
- ✗
Search Optimization Service automatically optimizes all columns in the table without the need to specify which columns to optimize.
Why it's wrong here
Search Optimization Service requires you to explicitly add specific columns to the optimization using ALTER TABLE ... ADD SEARCH OPTIMIZATION. It does not automatically optimize all columns; you must choose columns based on query patterns. This selective approach helps manage costs and storage overhead.
- ✓
Enabling Search Optimization Service on a column increases storage costs due to the additional search access path.
Why this is correct
Search Optimization Service adds a persistent search access path that consumes additional storage. This overhead is proportional to the number of distinct values and the size of the optimized columns. Architects must consider the trade-off between query performance gains and increased storage costs.
- ✗
Search Optimization Service is most effective for queries that use wildcard characters at the beginning of a string pattern, such as LIKE '%abc'.
Why it's wrong here
Search Optimization Service is not effective for leading wildcard patterns because it relies on prefix-based indexing. Queries with LIKE '%abc' cannot leverage the optimization and may degrade performance. It is designed for equality, IN, and prefix-based LIKE patterns like 'abc%'.
- ✓
Search Optimization Service can significantly improve query performance for equality and IN predicates on the optimized column.
Why this is correct
Search Optimization Service creates a persistent data structure that accelerates point lookups and IN filters. For high-cardinality columns like UUIDs, it can dramatically reduce the number of micro-partitions scanned, improving performance for queries with equality or IN predicates. This is a primary benefit of the service.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Snowflake exam blueprint
This ARA-C01 practice question is part of Courseiva's free Snowflake 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 ARA-C01 exam.