Valid sub-clauses to theOVERclause for a window function in SQL are:
C). ORDER BY: This clause specifies the order in which the rows in a partition are processed by the window function. It is essential for functions that depend on the row order, such as ranking functions.
D). PARTITION BY: This clause divides the result set into partitions to which the window function is applied.
Each partition is processed independently of other partitions, making it crucial for functions that compute values across sets of rows that share common characteristics.
These clauses are fundamental to defining the scope and order of data over which the window function operates, enabling complex analytical computations within SQL queries.
References:
Snowflake Documentation: Window Functions

The correct answer is B. Loading and unloading data .
SnowSQL is Snowflake's command-line client. It is used to connect to Snowflake, execute SQL statements, run SQL scripts, and perform data loading and unloading operations.
Why B is correct:
SnowSQL supports data loading and unloading workflows. For example, users can use SnowSQL to run PUT, GET, and COPY commands.
Example loading workflow:
PUT file:///local/path/data.csv @my_stage;
COPY INTO my_table
FROM @my_stage
FILE_FORMAT = (TYPE = CSV);
Example unloading workflow:
COPY INTO @my_stage/output/
FROM my_table;
GET @my_stage/output/ file:///local/path/output/;
Why the other options are incorrect:
A). Dashboards are usually developed in BI tools or applications, not SnowSQL.
C). Snowflake Native Apps are developed and managed using Snowflake Native App Framework tools and Snowflake CLI, not primarily SnowSQL.
D). Monitoring transformation activity is usually done through Snowflake views, query history, task history, event tables, or monitoring features, not as the primary purpose of SnowSQL.
Official Snowflake documentation reference:
Snowflake documentation describes SnowSQL as the command-line client for connecting to Snowflake and executing SQL queries, including data loading and unloading commands.
Reference: Snowflake Documentation - SnowSQL; Snowflake Documentation - Loading data using SnowSQL; Snowflake Documentation - PUT, GET, and COPY INTO; SnowPro Core Study Guide - Data Loading and Unloading.
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In Snowflake, to change the columns referenced in a view, the view must be recreated with the required changes. The ALTER VIEW command does not allow changing the definition of a view; it can only be used to rename a view, convert it to or from a secure view, or add, overwrite, or remove a comment for a view. Therefore, the correct approach is to drop the existing view and create a new one with the desired column references.

In Snowflake, a Temporary table is a type of table that is only visible to the user who creates it, can have the same name as permanent tables in the same schema, and is automatically dropped at the end of the session in which it was created. Temporary tables are designed for transient data processing needs, where data is needed for the duration of a specific task or session but not beyond. Since they are automatically cleaned up at the end of the session, they help manage storage usage efficiently and ensure that sensitive data is not inadvertently persisted.
References:
Snowflake Documentation on Temporary Tables: Temporary Tables