COF-C03 Practice Question: Snowflake AI Data Cloud Features and Architecture
What is the primary function of the Snowflake 'Result Cache'?
⚠ Common exam trap
Candidates often think the Result Cache uses warehouse compute credits. They forget that the Result Cache is a Cloud Services function that returns data without ever spinning up or using compute warehouses.
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 allows queries to return results without using compute resources.
The Result Cache stores the output of every query for 24 hours. When a subsequent query matches a previous one exactly (including the data being accessed), Snowflake returns the cached results immediately without using any compute resources. This provides massive performance benefits and cost savings for repeated queries, which are common in dashboards and reporting applications where the underlying data might not change frequently during the day.
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 stores raw data files for faster retrieval.
Why it's wrong here
The Result Cache does not store raw data files; it stores the final result set of a query. Raw data files are managed by the storage layer and accessed via the compute layer. Caching raw data is handled by the local disk cache on the compute nodes, not the Result Cache.
- ✗
It automatically scales compute resources.
Why it's wrong here
Result caching is a passive performance optimization, not an active scaling mechanism. Scaling compute resources is handled by Virtual Warehouses, which can be configured to scale horizontally with multi-cluster warehouses or vertically by increasing the warehouse size. The cache has no role in managing or scaling active compute clusters.
- ✓
It allows queries to return results without using compute resources.
Why this is correct
When a query is satisfied by the result cache, Snowflake does not activate any warehouse compute. This means the query executes at no cost and with near-zero latency, which is a major advantage for recurring reports and frequently accessed summary data within the Snowflake platform.
- ✗
It maintains the metadata of the database objects.
Why it's wrong here
Metadata management is performed by the Cloud Services layer, not the Result Cache. The Result Cache is strictly for storing query result sets to avoid redundant computations. It is an application-level cache rather than a metadata repository used for query optimization or partition pruning.
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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
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