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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 806

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 807

Which table function is used to perform additional processing on the results of a previously-run query?

Correct Answer: B
TheRESULT_SCANtable function is used in Snowflake to perform additional processing on the results of a previously-run query. It allows users to reference the result set of a previous query by its query ID, enabling further analysis or transformations without re-executing the original query.
:
Snowflake Documentation: RESULT_SCAN
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Question 808

Which of the following conditions must be met in order to return results from the results cache? (Select TWO).

Correct Answer: A,E
To return results from the results cache in Snowflake, certain conditions must be met:
* Privileges: The user must have the appropriate privileges on the objects associated with the query. This ensures that only authorized users can access cached data.
* Time Frame: The query must have been run within 24 hours of the previously-run query. Snowflake's results cache is designed to store the results of queries for a short period, typically 24 hours, to improve performance for repeated queries.
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Question 809

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

Correct Answer: A,C
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.
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Question 810

What causes objects in a data share to become unavailable to a consumer account?

Correct Answer: C
Objects in a data share become unavailable to a consumer account if the objects in the data share are deleted or if the permissions on these objects are altered without re-applying the grant permissions systematically.
This is because the sharing mechanism in Snowflake relies on explicit grants of permissions on specific objects (like tables, views, or secure views) to the share. If these objects are deleted or if their permissions change without updating the share accordingly, consumers can lose access.
The DATA_RETENTION_TIME_IN_DAYS parameter does not directly affect the availability of shared objects, as it controls how long Snowflake retains historical data for time travel and does not impact data sharing permissions.
Running the GRANT IMPORTED PRIVILEGES command in the consumer account is not related to the availability of shared objects; this command is used to grant privileges on imported objects within the consumer's account and is not a routine maintenance command that would need to be run regularly.
Acquiring a data share through a private data exchange does not inherently make objects unavailable; issues would only arise if there were problems with the share configuration or if the shared objects were deleted or had their permissions altered without re-granting access to the share.
Reference: Snowflake Documentation on Managing Access to Shared Data (https://docs.snowflake.com/en
/user-guide/data-sharing-consuming.html#managing-access-to-shared-data)
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