The correct answer is A. A staged file needs to be unloaded to a local machine .
The Snowflake GET command is used to download files from an internal Snowflake stage to a local file system. It is commonly used after data has been unloaded from a table into an internal stage and the user wants to retrieve those staged files locally.
Why A is correct:
The GET command downloads files from a Snowflake internal stage to a local directory.
Example:
GET @my_stage file:///tmp/data/;
This command downloads files from the internal stage @my_stage to the local /tmp/data/ directory.
Why the other options are incorrect:
B). Loading a local file onto a stage is done with the PUT command, not GET.
C). Opening query results in a third-party tool is not the purpose of the GET command.
D). Permanently deleting files from a Snowflake stage is done with the REMOVE command, not GET.
Official Snowflake documentation reference:
Snowflake documentation describes the GET command as the command used to download data files from a Snowflake stage to a local directory or folder.
Reference: Snowflake Documentation - GET command; Snowflake Documentation - PUT command; Snowflake Documentation - REMOVE command; SnowPro Core Study Guide - Data Loading and Unloading.

The query results cache can be used as long as the data in the table has not changed since the last time the query was run.If the underlying data has changed, Snowflake will not use the cached results and will re-execute the query1.

The minimum privilege required on an external stage for any role to access unstructured data files using a file URL in the GET REST API is READ. This allows the role to retrieve or download data files from the stage.

The correct answer is B. When a collect() action is triggered .
Snowpark DataFrames are evaluated lazily. Creating a DataFrame or applying transformations does not immediately execute the query in Snowflake. Execution happens only when an action is called.
Why B is correct:
collect() is an action. When it is called, Snowpark sends the accumulated DataFrame logic to Snowflake for execution and returns the results to the client.
Example:
df = session.table( " CUSTOMERS " )
filtered_df = df.filter(df[ " REGION " ] == " WEST " )
# Query is processed when this action runs:
rows = filtered_df.collect()
Why the other options are incorrect:
A). Creating a DataFrame builds a logical plan but does not process the data.
C). Warehouse memory availability is not what triggers DataFrame execution.
D). Applying a transformation adds to the logical plan, but it does not execute the plan.
Official Snowflake documentation reference:
Snowflake documentation describes Snowpark DataFrames as lazily evaluated. Transformations are not executed until an action, such as collect(), is called.
Reference: Snowflake Documentation - Snowpark DataFrames; Snowflake Documentation - Snowpark actions and transformations; SnowPro Core Study Guide - SQL and Snowflake Objects.
==