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Snowflake COF-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Collaboration & Protection10%- Data Clean Rooms, Collaboration Features
- Data Protection, Retention, Time Travel, Fail-safe
- Secure Data Sharing, Listings, Marketplace
Topic 2: Data Loading, Unloading & Connectivity18%- Bulk Load, Streaming, Dynamic Tables
- Stages, File Formats, COPY INTO, Snowpipe
- External Integrations, Connectors, SnowSQL
- Unloading Data, Export Options
Topic 3: Snowflake Architecture & Core Concepts31%- Snowsight Interface, Core Platform Features
- Cloud Services Layer, Compute Layer, Storage Layer
- Databases, Schemas, Objects, Data Types
- Virtual Warehouses, Clustering, Caching
Topic 4: Account Management & Data Governance20%- 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: Performance Optimization, Querying & Transformation21%- Cortex AI, Notebooks, Apache Iceberg Tables
- Query Processing, Profiling, Optimization
- SQL Transformations, Semi-structured/Unstructured Data
- Materialized Views, Streams, Tasks, Pipelines

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q1018-Q1023):

NEW QUESTION # 1018
What transformations are supported in a CREATE PIPE ... AS COPY ... FROM (....) statement? (Select TWO.)

Answer: C,E

Explanation:
In a CREATE PIPE ... AS COPY ... FROM (....)statement, the supported transformations include filtering data using an optional WHERE clause and omitting columns. The WHERE clause allows for the specification of conditions to filter the data that is being loaded, ensuring only relevant data is inserted into the table. Omitting columns enables the exclusion of certain columns from the data load, which can be useful when the incoming data contains more columns than are needed for the target table.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Simple Transformations During a Load1


NEW QUESTION # 1019
What situation is likely to cause data spillage when a query is run?

Answer: D


NEW QUESTION # 1020
Which minimum Snowflake edition allows for a dedicated metadata store?

Answer: B

Explanation:
The Enterprise edition of Snowflake allows for a dedicated metadata store, providing additional features designed for large-scale enterprises Reference: https://docs.snowflake.com/en/user-guide/intro-editions.html


NEW QUESTION # 1021
Using which object-level parameters will help limit query processing and concurrency slowdowns? (Select TWO).
A)

B)

C)

D)

E)

Answer: B,C


NEW QUESTION # 1022
Which statistics on a Query Profile reflect the efficiency of the query pruning? (Select TWO).

Answer: A,E

Explanation:
In a Snowflake Query Profile, the statistics "Partitions scanned" and "Bytes scanned" reflect the efficiency of query pruning. Query pruning refers to the ability of the query engine to skip unnecessary data, thereby reducing the amount of data that needs to be processed. Efficient pruning results in fewer partitions and bytes being scanned, improving query performance.
References:
Snowflake Documentation: Understanding Query Profiles
Top of Form
Bottom of Form


NEW QUESTION # 1023
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