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COF-C03 Practice Question: Performance Optimization, Querying, and Transformation

A Materialized View is created on a base table that experiences high churn (frequent inserts, updates, and deletes). What is the most likely impact of this configuration?

⚠ Common exam trap

Test-takers frequently assume materialized views are always beneficial for performance, overlooking the heavy background serverless maintenance costs incurred when base tables have high churn.

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

✓

The cost of maintaining the view may exceed the query performance benefits.

Materialized views in Snowflake are maintained by a serverless background process. When the base table changes, the view must be updated to remain consistent. High churn on the base table leads to frequent maintenance tasks, which can result in significant serverless credit consumption, often making the view more expensive than the performance benefit it provides.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    The Materialized View will become stale and return outdated results.

    Why it's wrong here

    Snowflake ensures that Materialized Views always return transactionally consistent results. If the background maintenance hasn't caught up, Snowflake will dynamically join the base table's changes with the view's data at query time to provide the correct results, although this can impact performance.

  • ✗

    Virtual warehouse credits will be used for the background maintenance.

    Why it's wrong here

    Materialized view maintenance is handled by Snowflake's serverless compute layer, not by the user's virtual warehouse. This means the costs are billed separately under serverless features, and the user's warehouse does not need to be active for the maintenance to occur.

  • ✓

    The cost of maintaining the view may exceed the query performance benefits.

    Why this is correct

    Because high churn triggers frequent serverless background updates, the cumulative cost of these updates can be very high. If the query performance improvement is marginal or the view is not queried frequently, the total cost of ownership becomes inefficient compared to querying the base table directly.

  • ✗

    The base table will be locked during the view's maintenance cycles.

    Why it's wrong here

    Snowflake's multi-cluster shared data architecture allows for non-blocking maintenance. The background process that updates the materialized view does not lock the base table, allowing users to continue performing DML operations without interference or performance degradation on the primary data source.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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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.