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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-01-13.q618 Dumps
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Question 1

What are key characteristics of virtual warehouses in Snowflake? (Select TWO).

Correct Answer: B,C
Virtual warehouses in Snowflake can be started and stopped at any time, providing flexibility in managing compute resources. They can also be resized at any time, even while running, to accommodate varying workloads910. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide
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Question 2

How can a user get the MOST detailed information about individual table storage details in Snowflake?

Correct Answer: D
To obtain the most detailed information about individual table storage details in Snowflake, the TABLE STORAGE METRICS view is the recommended option.
This view provides comprehensive metrics on storage usage, including data size, time travel size, fail-safe size, and other relevant storage metrics for each table. This level of detail is invaluable for monitoring, managing, and optimizing storage costs and performance.
References:
* Snowflake Documentation: Information Schema
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Question 3

True or False: A Virtual Warehouse can be resized while suspended.

Correct Answer: A
Virtual Warehouses in Snowflake can indeed be resized while they are suspended. Resizing a warehouse involves changing the number of compute resources (servers) allocated to it, which can be done to adjust performance and cost. When a warehouse is suspended, it is not currently running any queries, but its definition and metadata remain intact, allowing for modifications like resizing.
Reference: https://docs.snowflake.com/en/user-guide/warehouses-tasks.html#effects-of-resizing-a-suspended- warehouse
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Question 4

Regardless of which notation is used, what are considerations for writing the column name and element names when traversing semi-structured data?

Correct Answer: D
When querying semi-structured data in Snowflake, the behavior towards case sensitivity is distinct between column names and the names of elements within the semi-structured data. Column names follow the general SQL norm of being case-insensitive, meaning you can reference them in any case without affecting the query.
However, element names within JSON, XML, or other semi-structured data are case-sensitive. This distinction is crucial for accurate data retrieval and manipulation in Snowflake, especially when working with JSON objects where the case of keys can significantly alter the outcome of queries.
References:
* Snowflake Documentation: Querying Semi-structured Data
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Question 5

What statistical information in a Query Profile indicates that the query is too large to fit in memory? (Select TWO).

Correct Answer: A,B
In a Query Profile, the statistical information that indicates a query is too large to fit in memory includes bytes spilled to local cache and bytes spilled to local storage. These metrics suggest that the working data set of the query exceeded the memory available on the warehouse nodes, causing intermediate results to be written to disk
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