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  1. Home
  2. Snowflake Certification
  3. COF-C03 Exam
  4. Snowflake.COF-C03.v2026-06-01.q489 Dumps
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Question 171

Which feature is designed to reduce security risks associated with an individual user ' s password authentication?

Correct Answer: A
The correct answer is A. Multi-Factor Authentication, or MFA .
Multi-Factor Authentication reduces the risk of relying only on a username and password. Even if a password is compromised, MFA requires an additional verification factor before the user can access Snowflake.
Why A is correct:
MFA strengthens password-based authentication by requiring an extra factor, such as a push approval, passcode, or other verification method. Snowflake's native MFA is powered by Duo Security.
Why the other options are incorrect:
B). Standard authentication usually refers to username and password authentication, which is exactly the risk the question wants to reduce.
C). Snowflake OAuth is an authorization/authentication integration method, but MFA is the direct feature designed to reduce password-only risk.
D). External OAuth can centralize authentication through an external identity provider, but the best Snowflake security feature for reducing password authentication risk is MFA.
Official Snowflake documentation reference:
Snowflake documentation describes MFA as an additional layer of security for user login and explains that Snowflake MFA is powered by Duo Security.
Reference: Snowflake Documentation - Multi-factor authentication; Snowflake Documentation - User authentication; SnowPro Core Study Guide - Security and Access Control.
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Question 172

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

Correct Answer: A,D
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
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Question 173

A user has an application that writes a new Tile to a cloud storage location every 5 minutes.
What would be the MOST efficient way to get the files into Snowflake?

Correct Answer: D
The most efficient way to get files into Snowflake, especially when new files are being written to a cloud storage location at frequent intervals, is to use Snowpipe with auto-ingest. Snowpipe is Snowflake's continuous data ingestion service that loads data as soon as it becomes available in a cloud storage location. By setting up cloud provider notifications, Snowpipe can be triggered automatically whenever new files are written to the storage location, ensuring that the data is loaded into Snowflake with minimal latency and without the need for manual intervention or scheduling frequent tasks.
References:
Snowflake Documentation on Snowpipe
SnowPro Core Certification Study Guide
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Question 174

Which type of role can be granted to a share?

Correct Answer: B
In Snowflake, shares are used to share data between Snowflake accounts. When creating a share, it is possible to grant access to the share to roles within the Snowflake account that is creating the share. The type of role that can be granted to a share is a Custom role. Custom roles are user-defined roles that account administrators can create to manage access control in a more granular way. Unlike predefined roles such as ACCOUNTADMIN or SYSADMIN, custom roles can be tailored with specific privileges to meet the security and access requirements of different groups within an organization.
Granting a custom role access to a share enables users associated with that role to access the shared data if the share is received by another Snowflake account. It is important to carefully manage the privileges granted to custom roles to ensure that data sharing aligns with organizational policies and data governance standards.
References:
Snowflake Documentation on Shares: Shares
Snowflake Documentation on Roles: Access Control
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Question 175

What should be considered before implementing a Snowflake Data Clean Room?

Correct Answer: D
Snowflake Data Clean Rooms provide controlled collaboration between parties without exposing the underlying protected data directly. Participants perform approved analyses through the clean room's permitted templates and policies; they do not receive unrestricted access to another party's raw data.
The Snowflake account locations of the provider and consumer are an implementation consideration. Earlier Data Clean Room implementations commonly required collaborators to use accounts in the same supported region. Newer Snowflake capabilities may support cross-region or cross-cloud collaboration under additional configuration and availability requirements.
Therefore, this question should not state an unconditional, permanent rule that every clean-room participant must always be in the same geographic region. The technically corrected option is that region compatibility and supported cross-region capabilities must be evaluated before implementation.
The original version of this question likely expected "All participating accounts must be in the same geographic region." That answer should be used only when the applicable SnowPro study guide or exam version explicitly documents that limitation.
References:
Snowflake Documentation - Introduction to Snowflake Data Clean Rooms: https://docs.snowflake.com/en
/user-guide/cleanrooms/introduction
Snowflake Documentation - Data Clean Room provider and consumer workflows: https://docs.snowflake.
com/en/user-guide/cleanrooms/working-with-cleanrooms
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