ARA-C01 Snowflake Architecture Practice Question
What is the primary benefit of using Snowflake's Result Cache for repeated queries?
⚠ Common exam trap
Candidates often think the Result Cache is a form of local storage for table data, failing to distinguish it from the actual persistent storage or virtual warehouse cache.
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 performance benefits by avoiding compute resource usage for identical queries.
The Result Cache stores the output of query executions for 24 hours. If a subsequent query exactly matches a previous one and the underlying data has not changed, Snowflake returns the cached results immediately. This bypasses the compute layer entirely, saving costs and providing near-instant response times. This is a critical architectural feature for optimizing workloads that involve repetitive dashboard refreshes or common reporting metrics that do not require constant re-computation.
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 eliminates the need for data loading processes.
Why it's wrong here
The Result Cache only stores the outputs of executed queries, not the base data itself. It cannot replace data ingestion processes, as the underlying raw data must still be loaded, stored, and managed in the storage layer before any queries can be executed to generate the result sets stored in cache.
- ✓
It provides performance benefits by avoiding compute resource usage for identical queries.
Why this is correct
By returning results directly from the cache, Snowflake avoids executing the query on the warehouse. This eliminates compute costs and latency, providing an immediate response. This feature is highly efficient for workloads with high repetition, such as executive dashboards, where the same queries are executed multiple times within a day.
- ✗
It allows for cross-region replication of data.
Why it's wrong here
The Result Cache is local to the service layer of a specific Snowflake account and region. It does not provide mechanisms for data replication across regions. Data replication is handled by separate features like Database Replication or Failover groups, which manage the synchronization of objects between different Snowflake accounts and regions.
- ✗
It updates dynamically as base tables receive new data.
Why it's wrong here
The Result Cache is invalidated as soon as the underlying data in the source tables changes. It does not dynamically update to reflect the new data; instead, it is purged or ignored, and the next query is forced to execute against the compute resources to ensure the returned data is current.
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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.