Released Snowflake COF-C03 Questions Tips For Better Preparation [2026]

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Snowflake COF-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Account Management & Data Governance20%- Access Control: RBAC, DAC, Roles, Privileges
- Trust Center, Data Lineage, Compliance
- Governance: Resource Monitors, Data Masking, Row/Column Security
- Security: Network Policies, MFA, Encryption
Topic 2: Data Collaboration & Protection10%- Data Clean Rooms, Collaboration Features
- Secure Data Sharing, Listings, Marketplace
- Data Protection, Retention, Time Travel, Fail-safe
Topic 3: Performance Optimization, Querying & Transformation21%- Cortex AI, Notebooks, Apache Iceberg Tables
- SQL Transformations, Semi-structured/Unstructured Data
- Query Processing, Profiling, Optimization
- Materialized Views, Streams, Tasks, Pipelines
Topic 4: Data Loading, Unloading & Connectivity18%- Unloading Data, Export Options
- External Integrations, Connectors, SnowSQL
- Bulk Load, Streaming, Dynamic Tables
- Stages, File Formats, COPY INTO, Snowpipe
Topic 5: Snowflake Architecture & Core Concepts31%- Snowsight Interface, Core Platform Features
- Databases, Schemas, Objects, Data Types
- Virtual Warehouses, Clustering, Caching
- Cloud Services Layer, Compute Layer, Storage Layer

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q393-Q398):

NEW QUESTION # 393
The effects of query pruning can be observed by evaluating which statistics? (Select TWO).

Answer: B,D

Explanation:
Query pruning in Snowflake refers to the optimization technique where the system reduces the amount of data scanned by a query based on the query conditions. This typically involves skipping unnecessary data partitions that do not contribute to the query result. The effectiveness of this technique can be observed through:
Option A: Partitions scanned. This statistic indicates how many data partitions were actually scanned as a result of query pruning, showing the optimization in action.
Option C: Bytes scanned. This measures the volume of data physically read during query execution, and a reduction in this number indicates effective query pruning, as fewer bytes are read when unnecessary partitions are skipped.
Options B, D, and E do not directly relate to observing the effects of query pruning. "Partitions total" shows the total available, not the impact of pruning, while "Bytes read from result" and "Bytes written" relate to output rather than the efficiency of data scanning.References: Snowflake documentation on performance tuning and query optimization techniques, specifically how query pruning affects data access.


NEW QUESTION # 394
A user needs to create a materialized view in the schema MYDB.MYSCHEMA. Which statements will provide this access?

Answer: B

Explanation:
To provide a user with the necessary access to create a materialized view in a schema, the user must be granted a role that has the CREATE MATERIALIZED VIEW privilege on that schema.First, the role is granted to the user, and then the privilege is granted to the role


NEW QUESTION # 395
Which transformation is supported by a COPY INTO <table> command?

Answer: C

Explanation:
The COPY INTO <table> command in Snowflake supports transformations such as casting using a SELECT statement.This allows for the transformation of data types as the data is being loaded into the table, which can be particularly useful when the data types in the source files do not match the data types in the target table


NEW QUESTION # 396
If a table was dropped and the DATA_RETENTION_TIME_IN_DAYS was set to 0, how can the data from the table be recovered?

Answer: D

Explanation:
The correct answer is B. By creating a Snowflake Support ticket .
If DATA_RETENTION_TIME_IN_DAYS = 0, Time Travel retention is disabled for the table. This means the table cannot be recovered using normal Time Travel operations such as UNDROP TABLE or CLONE ...
BEFORE.
Why B is correct:
After Time Travel retention is unavailable, recovery may only be possible through Snowflake Fail-safe for permanent tables. Fail-safe is not directly accessible by users. Recovery from Fail-safe requires contacting Snowflake Support.
Important qualification:
This assumes the dropped table is a permanent table and the data is still within Fail-safe. Temporary and transient tables do not have Fail-safe, so they cannot be recovered this way.
Why the other options are incorrect:
A). A failover group is used for replication and disaster recovery across accounts or regions. It does not recover a dropped table with no Time Travel retention.
C). UNDROP TABLE relies on Time Travel retention. With retention set to 0, this is not available.
D). CLONE ... BEFORE also relies on Time Travel. It cannot recover data when no retention period exists.
Official Snowflake documentation reference:
Snowflake documentation explains that Time Travel enables users to restore dropped objects within the retention period. Fail-safe is a separate recovery mechanism for permanent tables and is only available through Snowflake Support.
Reference: Snowflake Documentation - Time Travel; Fail-safe; UNDROP TABLE; SnowPro Core Study Guide - Data Protection and Governance.
==


NEW QUESTION # 397
What is the purpose of key-pair authentication?

Answer: A

Explanation:
The correct answer is C. To securely authenticate a user or an application .
Key-pair authentication uses a public/private key pair to authenticate to Snowflake. It is commonly used for service accounts, automation, applications, and client tools that need secure authentication without relying on passwords.
Why C is correct:
In key-pair authentication, the private key is used by the client, and the public key is associated with the Snowflake user. Snowflake verifies the authentication request using the public key.
Why the other options are incorrect:
A). Key-pair authentication is about authentication, not encrypting Snowflake data for access by one of two keys.
B). Secure data sharing is a separate Snowflake feature and is not the purpose of key-pair authentication.
D). MFA is a separate authentication control. Key-pair authentication does not itself enforce MFA.
Official Snowflake documentation reference:
Snowflake documentation describes key-pair authentication as an authentication method using a public
/private key pair for users and applications.
Reference: Snowflake Documentation - Key-pair authentication; Snowflake Documentation - User authentication; SnowPro Core Study Guide - Security and Access Control.


NEW QUESTION # 398
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