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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 201

Where is metadata management handled in Snowflake?

Correct Answer: C
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Question 202

Which function, when combined with an INSERT statement, will insert semi-structured data into a VARIANT column?

Correct Answer: C
The correct answer is C. PARSE_JSON .
PARSE_JSON parses a valid JSON-formatted string and returns a VARIANT value. This is commonly used when inserting semi-structured JSON data into a VARIANT column.
Why C is correct:
A VARIANT column can store semi-structured data such as JSON objects and arrays. When the source value is a JSON string, PARSE_JSON converts it into a Snowflake VARIANT.
Example:
CREATE TABLE json_table (
src VARIANT
);
INSERT INTO json_table
SELECT PARSE_JSON( ' { " customer_id " : 101, " region " : " WEST " } ' ); Why the other options are incorrect:
A). TO_JSON converts a VARIANT value into a JSON string. It is commonly used in the opposite direction.
B). TO_VARCHAR converts a value to a string, not to a semi-structured VARIANT.
D). OBJECT_INSERT inserts or updates a key-value pair inside an existing object, but it is not the primary function used to parse JSON text into a VARIANT column.
Official Snowflake documentation reference:
Snowflake documentation describes PARSE_JSON as a function that interprets an input string as JSON and returns a VARIANT value.
Reference: Snowflake Documentation - PARSE_JSON; Snowflake Documentation - Semi-structured data types; SnowPro Core Study Guide - Working with Semi-Structured Data.
==
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Question 203

A sales table FCT_SALES has 100 million records.
The following Query was executed
SELECT COUNT (1) FROM FCT__SALES;
How did Snowflake fulfill this query?

Correct Answer: D
Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries. When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan.
References:
Snowflake Documentation on Metadata Management
SnowPro Core Certification Study Guide
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Question 204

Which role has the ability to create and manage users and roles?

Correct Answer: B
The USERADMIN role in Snowflake has the ability to create and manage users and roles within the Snowflake environment.This role is specifically dedicated to user and role management and creation
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Question 205

What is the purpose of a Query Profile?

Correct Answer: B
The purpose of a Query Profile is to provide a detailed analysis of a particular query's execution plan, including the mechanics, behavior, and performance. It helps in identifying potential performance bottlenecks and areas for optimization
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