COF-C02 - SnowPro Core Certification Exam Latest Exam Revision Plan

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Snowflake COF-C02 Exam Syllabus Topics:

SectionObjectives
Snowflake Architecture and Overview- Virtual warehouses and resource scaling concepts
- Snowflake architecture concepts (cloud data platform, separation of storage and compute)
Data Protection, Security, and Performance- Time Travel and Fail-safe concepts
- Role-based access control (RBAC)
- Query performance optimization basics
Data Transformations and Querying- Semi-structured data handling (VARIANT, JSON, Parquet)
- SQL querying in Snowflake
Data Loading and Unloading- Data unloading and external stages
- Bulk loading using stages and COPY INTO

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Snowflake SnowPro Core Certification Exam Sample Questions (Q231-Q236):

NEW QUESTION # 231
Where does Snowflake store the data output from a query that was executed in the past 24 hours?

Answer: D

Explanation:
* Snowflake stores query results in the result cache layer for up to 24 hours if the query and underlying data have not changed.
* This allows Snowflake to return results quickly without re-executing the query.
* The result cache is distinct from local disk or remote storage and is optimized for query performance.
References:
* Snowflake Documentation: Query Result Caching


NEW QUESTION # 232
Who can create network policies within Snowflake? (Select TWO).

Answer: A,D


NEW QUESTION # 233
What should be used when creating a CSV file format where the columns are wrapped by single quotes or double quotes?

Answer: D


NEW QUESTION # 234
What happens to historical data when the retention period for an object ends?

Answer: C


NEW QUESTION # 235
Which feature is used to protect sensitive data at query run time?

Answer: C

Explanation:
The correct answer is D. Dynamic Data Masking .
Dynamic Data Masking is used to protect sensitive column values at query run time. It allows Snowflake to return different values depending on the user's role or other policy logic.
Why D is correct:
A masking policy can be applied to a table or view column. When a query runs, Snowflake evaluates the masking policy and determines whether to return the original value, a partially masked value, or a fully masked value.
Example concept:
CREATE MASKING POLICY phone_mask AS (val STRING)
RETURNS STRING - >
CASE
WHEN CURRENT_ROLE() IN ( ' CUSTOMER_SUPPORT_FULL ' ) THEN val
ELSE CONCAT( ' XXX-XXX- ' , RIGHT(val, 4))
END;
This protects sensitive phone numbers at query time without changing the underlying stored data.
Why the other options are incorrect:
A). Object tagging classifies or labels data for governance, but it does not mask values at query runtime by itself.
B). Data encryption protects data at rest and in transit, but it does not dynamically change query results based on role.
C). UDFs can implement custom logic, but Snowflake's built-in governance feature for runtime masking is Dynamic Data Masking.
Official Snowflake documentation reference:
Snowflake documentation describes Dynamic Data Masking as a column-level security feature that uses masking policies to selectively mask plain-text data in query results at runtime.
Reference: Snowflake Documentation - Dynamic Data Masking; Snowflake Documentation - Masking policies; SnowPro Core Study Guide - Data Protection and Governance.


NEW QUESTION # 236
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