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Snowflake COF-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Architecture & Core Concepts	31%	- Databases, Schemas, Objects, Data Types - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching
Topic 2: Performance Optimization, Querying & Transformation	21%	- Materialized Views, Streams, Tasks, Pipelines - SQL Transformations, Semi-structured/Unstructured Data - Query Processing, Profiling, Optimization - Cortex AI, Notebooks, Apache Iceberg Tables
Topic 3: Data Collaboration & Protection	10%	- Secure Data Sharing, Listings, Marketplace - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features
Topic 4: Account Management & Data Governance	20%	- Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance - Governance: Resource Monitors, Data Masking, Row/Column Security
Topic 5: Data Loading, Unloading & Connectivity	18%	- Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q85-Q90):

NEW QUESTION # 85
A team needs to monitor and receive alerts for Snowpipe credit usage.
Why should a custom budget be used instead of a resource monitor?

A. A custom budget is the only tool that can automatically send alert emails to users outside the ACCOUNTADMIN role.
B. Custom budgets track historical spending, whereas resource monitors provide cost forecasts.
C. Resource monitors can track costs for only one virtual warehouse, whereas custom budgets monitor the entire account.
D. Custom budgets can track costs using object tags and include serverless features.

Answer: D

Explanation:
A resource monitor applies only to virtual warehouses and the cloud-services usage associated with those warehouses. It cannot monitor credit consumption from serverless features such as Snowpipe, so it is unsuitable for the stated requirement. A custom budget can monitor supported serverless features and can define its scope either by adding individual objects or by associating a tag and tag value with the budget. This makes it possible to group and track costs for a department, workload, or service without relying solely on warehouse boundaries. Budgets can also send notifications when spending is projected to exceed the configured monthly limit. Therefore, option D correctly identifies both decisive advantages: tag-based scoping and coverage of serverless credit usage, including Snowpipe.

NEW QUESTION # 86
How can a user MINIMIZE Continuous Data Protection costs when using large, high-churn, dimension tables?

A. Create regular tables with extended Time Travel and Fail-safe settings.
B. Create regular tables with default Time Travel and Fail-safe settings
C. Create temporary tables and periodically copy them to permanent tables
D. Create transient tables and periodically copy them to permanent tables.

Answer: D

Explanation:
To minimize Continuous Data Protection (CDP) costs when dealing with large, high-churn dimension tables in Snowflake, using transient tables is a recommended approach.
Transient Tables: These are designed for data that does not require fail-safe protection. They provide the benefit of reducing costs associated with continuous data protection since they do not have the seven-day Fail- safe period that is mandatory for permanent tables.
Periodic Copying to Permanent Tables: By periodically copying data from transient tables to permanent tables, you can achieve a balance between data protection and cost-efficiency. Permanent tables offer the extended data protection features, including Time Travel and Fail-safe, butthese features can be applied selectively rather than continuously, reducing the overall CDP costs.
Snowflake Documentation on Transient Tables
Snowflake Documentation on Time Travel & Fail-safe

NEW QUESTION # 87
What impact does dropping a column from a table have on the micro-partitions of that table?

A. The existing micro-partitions will not be affected.
B. New micro-partitions will be created containing only the data for the remaining columns.
C. The current micro-partitions will not be available for Time Travel, and new micro-partitions will be created.
D. The data associated with the dropped column will be removed from all existing micro-partitions.

Answer: A

NEW QUESTION # 88
Use of which feature or setting consumes Snowflake credits, but generates no storage costs?

A. Search optimization service
B. Table clustering
C. Query acceleration service
D. Materialized view

Answer: A

NEW QUESTION # 89
Which command is used to unload data from a Snowflake table into a file in a stage?

A. COPY INTO
B. WRITE
C. GET
D. EXTRACT INTO

Answer: A

Explanation:
The COPY INTO command is used in Snowflake to unload data from a table into a file in a stage. This command allows for the export of data from Snowflake tables into flat files, which can then be used for further analysis, processing, or storage in external systems.
References:
Snowflake Documentation on Unloading Data
Snowflake SnowPro Core: Copy Into Command to Unload Rows to Files in Named Stage

NEW QUESTION # 90
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