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  2. Snowflake Certification
  3. COF-C03 Exam
  4. Snowflake.COF-C03.v2026-06-01.q489 Dumps
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Question 481

A user runs a query on a large table using a Medium virtual warehouse. The same query is then run on the same table by a different user using a different warehouse.
Which caches will be used?

Correct Answer: D
The warehouse data cache is local to the virtual warehouse that populated it, so a different warehouse cannot reuse the first warehouse's cached table data. Persisted query results are independent of a specific warehouse and can be reused for an identical SELECT when the data is unchanged, the result is still available, reuse is enabled, and the executing role has the required privileges. Snowflake's Cloud Services layer also manages metadata and query caching outside individual warehouse-local storage.
Consequently, among the available options, metadata cache and query result cache are applicable, making D correct. A different user does not automatically prevent result reuse for a SELECT. The user' s active role must have the necessary privileges on all objects referenced by the cached query.
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Question 482

How does Snowflake ensure the integrity and consistency of data stored in tables?

Correct Answer: C
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Question 483

Which data formats are supported by Snowflake when unloading semi-structured data? (Select TWO).

Correct Answer: B,D
Snowflake supports a variety of file formats for unloading semi-structured data, among which Parquet and Newline Delimited JSON (NDJSON) are two widely used formats.
B). Binary file in Parquet: Parquet is a columnar storage file format optimized for large-scale data processing and analysis. It is especially suited for complex nested data structures.
D). Newline Delimited JSON (NDJSON): This format represents JSON records separated by newline characters, facilitating the storage and processing of multiple, separate JSON objects in a single file.
These formats are chosen for their efficiency and compatibility with data analytics tools and ecosystems, enabling seamless integration and processing of exported data.
References:
Snowflake Documentation: Data Unloading
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Question 484

Will data cached in a warehouse be lost when the warehouse is resized?

Correct Answer: C
When a Snowflake virtual warehouse is resized, the data cached in the warehouse is not lost. This is because the cache is maintained independently of the warehouse size. Resizing a warehouse, whether scaling up or down, does not affect the cached data, ensuring that query performance is not impacted by such changes.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation onVirtual Warehouse Performance1
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Question 485

What is the recommended compressed file size range for continuous data loads using Snowpipe?

Correct Answer: D
For continuous data loads using Snowpipe, the recommended compressed file size range is between 100-250 MB.This size range is suggested to optimize the number of parallel operations for a load and to avoid size limitations, ensuring efficient and cost-effective data loading
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