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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-03-16.q834 Dumps
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Question 586

A user needs to know this information about an object:
1. Who accessed the data?
2. When was the data accessed?
3. What columns were accessed?
Which account usage schema view should be used?

Correct Answer: B
* The ACCESS_HISTORY view in Snowflake provides information about:
* Who accessed the data.
* When the data was accessed.
* What columns were accessed.
* This view is part of Snowflake's Account Usage Schema and is designed for detailed auditing of data access.
Why Other Options Are Incorrect:
* A. QUERY_HISTORY: Tracks query execution details but does not provide column-level access information.
* C. EVENT_USAGE_HISTORY: Tracks usage of Snowflake events but not data access.
* D. OBJECT_DEPENDENCIES: Tracks object dependencies, unrelated to data access details.
References:
* ACCESS_HISTORY View Documentation
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Question 587

What would cause different results to be returned when running the same query twice?

Correct Answer: B
When using the SAMPLE clause in a query, if the seed is not set, Snowflake will use a different random seed for each execution of the query. This results in different rows being sampled each time, leading to different results. Setting a seed ensures that the same rows are sampled each time the query is run.
Reference:
Snowflake Documentation: Sampling
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Question 588

How does a Snowflake stored procedure compare to a User-Defined Function (UDF)?

Correct Answer: B
In Snowflake, stored procedures and User-Defined Functions (UDFs) have different invocation patterns within SQL:
* Option B is correct: A single executable statement can call only one stored procedure due to the procedural and potentially transactional nature of stored procedures. In contrast, a single SQL statement can call multiple UDFs because UDFs are designed to operate more like functions in traditional programming, where they return a value and can be embedded within SQL queries.References:
Snowflake documentation comparing the operational differences between stored procedures and UDFs.
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Question 589

What features does Snowflake Time Travel enable?

Correct Answer: B,C
Snowflake Time Travel is a powerful feature that allows users to access historical data within a defined period. It enables two key capabilities:
* B. Restoring data-related objects that have been deleted within the past 90 days: Time Travel can be used to restore tables, schemas, and databases that have been accidentally or intentionally deleted within the Time Travel retention period.
* C. Conducting point-in-time analysis for BI reporting: It allows users to query historical data as it appeared at a specific point in time within the Time Travel retention period, which is crucial for business intelligence and reporting purposes.
While Time Travel does allow querying of past data, it is limited to the retention period set for the Snowflake account, which is typically 1 day for standard accounts and can be extended up to 90 days for enterprise accounts. It does not enable querying or restoring objects created or deleted beyond the retention period, nor does it provide analysis over all periods of time.
References:
* Snowflake Documentation on Time Travel
* SnowPro Core Certification Study Guide
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Question 590

True or False: Reader Accounts are able to extract data from shared data objects for use outside of Snowflake.

Correct Answer: B
Reader accounts in Snowflake are designed to allow users to read data shared with them but do not have the capability to extract data for use outside of Snowflake. They are intended for consuming shared data within the Snowflake environment only.
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