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Snowflake SnowPro® Core Certification (COF-C03) Sample Questions (Q716-Q721):

NEW QUESTION # 716
Which Snowflake feature provides increased login security for users connecting to Snowflake that is powered by Duo Security service?

Answer: C

Explanation:
Multi-Factor Authentication (MFA) provides increased login security for users connecting to Snowflake. Snowflake's MFA is powered by Duo Security service, which adds an additional layer of security during the login process.


NEW QUESTION # 717
True or False: A 4X-Large Warehouse may, at times, take longer to provision than a X-Small Warehouse.

Answer: B

Explanation:
Provisioning time can vary based on the size of the warehouse. A 4X-Large Warehouse typically has more resources and may take longer to provision compared to a X-Small Warehouse, which has fewer resources and can generally be provisioned more quickly.References:Understanding and viewing Fail-safe | Snowflake Documentation


NEW QUESTION # 718
What are type predicates used for?

Answer: C

Explanation:
Type predicates in Snowflake are used to determine if a value in a VARIANT column is of a particular data type. This is useful when working with semi-structured data stored in VARIANT columns, as it allows for data type validation and conditional processing based on the data type.
References:
Snowflake Documentation: Type Predicates


NEW QUESTION # 719
Which of the following objects can be directly restored using the UNDROP command? (Choose two.)

Answer: A,C

Explanation:
The UNDROP command in Snowflake can be used to directly restore Views and Tables. These objects, when dropped, are moved to a 'Recycle Bin' where they can be restored within a time limit before they are permanently deleted.References:[COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 720
Which function determines the kind of value stored in a VARIANT column?

Answer: A

Explanation:
The function used to determine the kind of value stored in a VARIANT column in Snowflake is TYPEOF.
Understanding VARIANT Data Type:
VARIANT is a flexible data type in Snowflake that can store semi-structured data, such as JSON, Avro, and XML.
This data type can hold values of different types, including strings, numbers, objects, arrays, and more.
Using TYPEOF Function:
The TYPEOF function returns the data type of the value stored in a VARIANT column.
It helps in identifying the type of data, which is crucial for processing and transforming semi-structured data accurately.
Example Usage:
SELECT TYPEOF(variant_column)
FROM my_table;
This query retrieves the type of data stored in variant_column for each row in my_table.
Possible return values include 'OBJECT', 'ARRAY', 'STRING', 'NUMBER', etc.
Benefits:
Simplifies data processing: Knowing the data type helps in applying appropriate transformations and validations.
Enhances query accuracy: Ensures that operations on VARIANT columns are performed correctly based on the data type.
References:
Snowflake Documentation: TYPEOF
Snowflake Documentation: VARIANT Data Type


NEW QUESTION # 721
......

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