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  1. Home
  2. Snowflake Certification
  3. SnowPro-Core Exam
  4. Snowflake.SnowPro-Core.v2024-10-07.q429 Dumps
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Question 256

Which data types does Snowflake support when querying semi-structured data? (Select TWO)

Correct Answer: A,B
Explanation
https://docs.snowflake.com/en/user-guide/semistructured-intro.html#label-loading-semi-structured-data A VARIANT stores semi-structured data in Snowflake. It can store a value of any other type, including OBJECT and ARRAY.
The maximum length of a VARIANT is 16 MB.
A Snowflake ARRAY is similar to an array in many other programming languages. An ARRAY contains 0 or more pieces of data. Each element is accessed by specifying its position in the array.
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Question 257

True or False: A table in Snowflake can only be queried using the Virtual Warehouse that was used to load the data.

Correct Answer: B
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Question 258

When reviewing a query profile, what is a symptom that a query is too large to fit into the memory?

Correct Answer: D
When a query in Snowflake is too large to fit into the available memory, it will start spilling to remote storage. This is an indication that the memory allocated for the query is insufficient for its execution, and as a result, Snowflake uses remote disk storage to handle the overflow. This spill to remote storage can lead to slower query performance due to the additional I/O operations required.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Query Profile1
* Snowpro Core Certification Exam Flashcards2
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Question 259

How can a data provider ensure that a data consumer is going to have access to the required objects?

Correct Answer: A
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Question 260

A user has semi-structured data to load into Snowflake but is not sure what types of operations will need to be performed on the data. Based on this situation, what type of column does Snowflake recommend be used?

Correct Answer: D
When dealing with semi-structured data in Snowflake, and the specific types of operations to be performed on the data are not yet determined, Snowflake recommends using the VARIANT data type. The VARIANT type is highly flexible and capable of storing data in multiple formats, including JSON, AVRO, BSON, and more, within a single column. This flexibility allows users to perform various operations on the data, including querying and manipulation of nested data structures without predefined schemas.
References:
* Snowflake Documentation: Semi-structured Data Types
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