The ResultSet cache is leveraged to quickly return results for repeated queries. Actions that prevent leveraging this cache include stopping the virtual warehouse that the query is running against (B) and executing the RESULTS_SCAN() table function (D). Stopping the warehouse clears the local disk cache, including the ResultSet cache1. The RESULTS_SCAN() function is used to retrieve the result of a previously executed query, which bypasses the need for the ResultSet cache.

The Activity area of Snowsight, Snowflake's web interface, allows users to perform several important tasks related to query management and performance analysis. Among the options provided, the correct ones are:
B : Explore each step of an executed query: Snowsight provides detailed insights into query execution, including the ability to explore the execution plan of a query. This helps users understand how a query was processed, identify performance bottlenecks, and optimize query performance.
C : Monitor queries executed by users in an account: The Activity area enables users to monitor the queries that have been executed by users within the Snowflake account. This includes viewing the history of queries, their execution times, resources consumed, and other relevant metrics.
These features are crucial for effective query performance tuning and ensuring efficient use of Snowflake's resources.
Reference:
Snowflake Documentation on Snowsight: Using Snowsight

In Snowflake, a Pipe is the object designed to enable the continuous, near-real-time loading of data from files as soon as they are available in a cloud storage location. Pipes use Snowflake's COPY command to load data and can be associated with a Stage object to monitor for new files. When new data files appear in the stage, the pipe automatically loads the data into the target table.
Reference:
Snowflake Documentation on Pipes
SnowPro Core Certification Study Guide
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-intro.html