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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 81

A Snowflake user is using the QUERY_HISTORY view in the ACCOUNT_USAGE schema to gather information about two queries that ran in the past 10 minutes, but the data is missing. What could cause this to occur?

Correct Answer: C
The correct answer is C. The ACCOUNT_USAGE schema does not provide real-time results .
The ACCOUNT_USAGE schema contains historical metadata and usage information for the Snowflake account, but its views have latency. This means recently executed queries may not appear immediately.
Corrected wording:
The object is typically referred to as the QUERY_HISTORY view in the ACCOUNT_USAGE schema, not QUERY_HISTORY_VIEW.
Why C is correct:
If queries ran only 10 minutes ago, they may not yet appear in SNOWFLAKE.ACCOUNT_USAGE.
QUERY_HISTORY because ACCOUNT_USAGE views are not real-time. For more immediate query history, users can use the INFORMATION_SCHEMA.QUERY_HISTORY table function, subject to its scope and retention limits.
Why the other options are incorrect:
A). Running queries on a multi-cluster warehouse does not prevent query history from being recorded.
B). Queries using the result cache can still appear in query history.
D). If the user lacked privileges, they would generally be unable to query the view or would have limited visibility, but the key clue is that the queries ran in the past 10 minutes.
Official Snowflake documentation reference:
Snowflake documentation states that ACCOUNT_USAGE views can have latency and should not be expected to return real-time data.
Reference: Snowflake Documentation - ACCOUNT_USAGE schema; Snowflake Documentation - QUERY_HISTORY view; Snowflake Documentation - INFORMATION_SCHEMA.QUERY_HISTORY; SnowPro Core Study Guide - Account Usage and Monitoring.
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Question 82

When using the ALLOW_CLINT_MFA_CACHING parameter, how long is a cached Multi-Factor Authentication (MFA) token valid for?

Correct Answer: C
A cached MFA token is valid for up to four hours. https://docs.snowflake.com/en/user-guide/security-mfa#using-mfa-token-caching-to-minimize-the-number-of-prompts-during-authentication-optional
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Question 83

Which statement MOST accurately describes clustering in Snowflake?

Correct Answer: B
Clustering in Snowflake refers to the organization of data within micro-partitions, which are contiguous units of storage within Snowflake tables.Clustering keys can be defined to co-locate similar rows in the same micro-partitions, improving scan efficiency and query performance12.
References: [COF-C02] SnowPro Core Certification Exam Study Guide
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Question 84

A team plans to build data-transformation pipelines using a Snowflake-supported development framework that provides compute pushdown and native integration with Snowflake features.
Which feature should the team use?

Correct Answer: A
Snowpark provides language-specific APIs for building data-processing and transformation logic. Snowpark operations are translated into SQL and executed by Snowflake's compute engine. This provides compute pushdown because processing occurs inside Snowflake instead of requiring the complete dataset to be transferred to an external application.
The JDBC and ODBC drivers provide database connectivity. They allow applications to submit SQL statements and retrieve results, but they are not transformation frameworks comparable to Snowpark.
The Snowflake Connector for Kafka is primarily used to ingest streaming data from Apache Kafka into Snowflake.
Correction: The original option A said "Snowflake Connector for Python." That connector is a Python database driver. The feature that provides DataFrame-based transformations and compute pushdown is the Snowpark API for Python.
References:
Snowflake Documentation - Snowpark Developer Guide for Python: https://docs.snowflake.com/en
/developer-guide/snowpark/python/index
Snowflake Documentation - Snowpark API overview: https://docs.snowflake.com/en/developer-guide
/snowpark/index
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Question 85

What does Snowflake recommend a user do if they need to connect to Snowflake with a tool or technology mat is not listed in Snowflake partner ecosystem?

Correct Answer: D
If a user needs to connect to Snowflake with a tool or technology that is not listed in Snowflake ' s partner ecosystem, Snowflake recommends using its JDBC or ODBC drivers. These drivers provide a standard method of connecting from various tools and programming languages to Snowflake, offering wide compatibility and flexibility. By using these drivers, users can establishconnections to Snowflake from their applications, ensuring they can leverage the capabilities of Snowflake regardless of the specific tools or technologies they are using.
References: Snowflake Documentation on Client Drivers
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