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Snowflake SnowPro Core Certification Exam Sample Questions (Q500-Q505):

NEW QUESTION # 500
What SnowFlake database object is derived from a query specification, stored for later use, and can speed up expensive aggregation on large data sets?

A. Secure view
B. Temporary table
C. External table
D. Materialized view

Answer: D

NEW QUESTION # 501
Why would a Snowflake user load JSON data into a VARIANT column instead of a string column?

A. A VARIANT column will have a better query performance than a string column.
B. A VARIANT column is more secure than a string column
C. A VARIANT column compresses data and a string column does not.
D. A variant column can be used to create a data hierarchy and a string column cannot

Answer: D

Explanation:
A VARIANT column in Snowflake is specifically designed to store semi-structured data, such as JSON, and allows for the creation of a data hierarchy. Unlike string columns, VARIANT columns can natively handle JSON data structures, enabling complex querying and manipulation of hierarchical data using functions designed for semi-structured data.
:
Snowflake Documentation: VARIANT Data

NEW QUESTION # 502
Which Snowflake tool is recommended for data batch processing?

A. SnowCD
B. Snowsight
C. The Snowflake API
D. SnowSQL

Answer: D

Explanation:
For data batch processing in Snowflake, the recommended tool is:
* B. SnowSQL: SnowSQL is the command-line client for Snowflake. It allows for executing SQL queries, scripts, and managing database objects. It's particularly suitable for batch processing tasks due to its ability to run SQL scripts that can execute multiple commands or queries in sequence, making it ideal for automated or scheduled tasks that require bulk data operations.
SnowSQL provides a flexible and powerful way to interact with Snowflake, supporting operations such as loading and unloading data, executing complex queries, and managing Snowflake objects from the command line or through scripts.
References:
* Snowflake Documentation: SnowSQL (CLI Client) at Snowflake Documentation

NEW QUESTION # 503
How can a Snowflake user access a JSON object, given the following table? (Select TWO).

A. src:salesperson.name
B. SRC:salesperson.Name
C. src:salesperson.Name
D. SRC:salesperson.name
E. src:sa1esPerson. name

Answer: A,C

Explanation:
To access a JSON object in Snowflake, dot notation is used where the path to the object is specified after the column name containing the JSON data. Both lowercase and uppercase can be used for attribute names, so both "name" and "Name" are valid. References: [COF-C02] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 504
What is one of the characteristics of data shares?

A. Data shares are cloud agnostic and can cross regions by default.
B. Data shares utilize secure views for sharing view objects.
C. Data shares work by copying data to consumer accounts.
D. Data shares support full DML operations.

Answer: B

Explanation:
Data sharing in Snowflake allows for live, read-only access to data across different Snowflake accounts without the need to copy or transfer the data. One of the characteristics of data shares is the ability to use secure views. Secure views are used within data shares to restrict the access of shared data, ensuring that consumers can only see the data that the provider intends to share, thereby preserving privacy and security.
References:
* Snowflake Documentation: Understanding Secure Views in Data Sharing

NEW QUESTION # 505
......

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COF-C02 Training Pdf | Exam COF-C02 Study Guide

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Snowflake SnowPro Core Certification Exam Sample Questions (Q500-Q505):

HOT COF-C02 Training Pdf - The Best Snowflake Exam COF-C02 Study Guide: SnowPro Core Certification Exam

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