COF-C03 Practice Question: Snowflake AI Data Cloud Features and Architecture
What is the primary benefit of the Snowflake Query Result Cache compared to a standard warehouse cache?
⚠ Common exam trap
Test-takers often confuse the Query Result Cache with the local Virtual Warehouse cache, assuming that result cache hits still consume compute credits and require an active warehouse.
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
✓
It provides instant performance without compute costs.
The Query Result Cache is managed by the Cloud Services layer and stores the exact result of a query for 24 hours (provided the underlying data hasn't changed). Unlike the warehouse cache, which is local to a specific virtual warehouse and requires the warehouse to be running, the Result Cache is globally accessible. This provides instantaneous performance for repeat queries without incurring any compute credit costs, regardless of which warehouse or user is requesting the data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It persists data for longer than 24 hours.
Why it's wrong here
The result cache is not a long-term persistence layer; it has a fixed limit of 24 hours. After this window, or if the underlying data changes, the cache is invalidated. It is intended for short-term performance optimization rather than long-term data storage or data archiving strategies.
- ✗
It allows for user-defined schema updates.
Why it's wrong here
The result cache is strictly for storing query outcomes and does not interact with schema structures or data modification. Schema updates are handled by DDL operations within the Cloud Services layer, and these operations would likely invalidate any existing cached result sets associated with the modified tables.
- ✗
It requires the warehouse to be active.
Why it's wrong here
The result cache is a feature of the Cloud Services layer, meaning it does not require a running virtual warehouse to retrieve data. This is a major advantage for cost efficiency, as it allows users to view query results without triggering the compute costs associated with starting a warehouse.
- ✓
It provides instant performance without compute costs.
Why this is correct
Since the result cache is retrieved from the Cloud Services layer, it requires zero compute resources to return. This bypasses the virtual warehouse entirely, resulting in sub-second response times for identical queries and zero credit consumption, which is highly beneficial for dashboards and repeated reporting tasks.
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 COF-C03 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 COF-C03 exam.