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Snowflake Certification
COF-C02 Exam
Snowflake.COF-C02.v2026-03-16.q834 Dumps

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Question 716

What feature can be used to reorganize a very large table on one or more columns?

A.Micro-partitions
B.Clustering keys
C.Key partitions
D.Clustered partitions

Correct Answer: B

Clustering keys in Snowflake are used to reorganize large tables based on one or more columns. This feature optimizes the arrangement of data within micro-partitions to improve query performance, especially for large tables where efficient data retrieval is crucial. References: [COF-C02] SnowPro Core Certification Exam Study Guide
https://docs.snowflake.com/en/user-guide/tables-clustering-keys.html

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Question 717

What is the MINIMUM Snowflake edition required to use the query acceleration service?

A.Standard
B.Enterprise
C.Business Critical
D.Virtual Private Snowflake (VPS)

Correct Answer: B

* The Query Acceleration Service is available starting with the Enterprise Edition of Snowflake.
* This feature provides additional compute resources to accelerate query execution without manual scaling.
References:
* Snowflake Documentation: Query Acceleration Service
* Snowflake Editions Overview

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Question 718

Which of the following Snowflake objects can be shared using a secure share? (Select TWO).

A.Materialized views
B.Sequences
C.Procedures
D.Tables
E.Secure User Defined Functions (UDFs)

Correct Answer: D,E

Secure sharing in Snowflake allows users to share specific objects with other Snowflake accounts without physically copying the data, thus not consuming additional storage. Tables and Secure User Defined Functions (UDFs) are among the objects that can be shared using this feature. Materialized views, sequences, and procedures are not shareable objects in Snowflake.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Secure Data Sharing1

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Question 719

Which data types can be used in a Snowflake table that holds semi-structured data? (Select TWO).

A.ARRAY
B.BINARY
C.TEXT
D.VARIANT
E.VARCHAK

Correct Answer: A,D

Snowflake supports semi-structured data types that can store complex data structures within a single column.
TheVARIANTdata type can hold structured and semi-structured data formats such as JSON, Avro, ORC, Parquet, and XML. TheARRAYdata type is also used for semi-structured data and can store an ordered list of elements. These data types enable users to work with semi-structured data directly in Snowflake without needing to flatten the data into a relational schema first.
References: Snowflake Documentation on Semi-Structured Data Types

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Question 720

Which Snowflake partner specializes in data catalog solutions?

A.Alation
B.DataRobot
C.dbt
D.Tableau

Correct Answer: A

Alation provides Data Cataloging functionality. They state they are the 'One Place to Find, Understand, & Govern Data Across an Enterprise.
https://docs.snowflake.com/en/user-guide/ecosystem-all.html

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