Legit COF-C02 Exam Download

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.

References:

• Snowflake Documentation on Snowsight: Using Snowsight

In Snowflake, a user within a reader account primarily has read-only access to the shared data. Reader accounts are created to enable third parties or separate business units to access and query data shared with them without allowing them to modify the underlying data. This means a user with a reader account can perform operations like querying shared data to analyze or report on it but cannot load new data, update existing data, or create new shares. This setup is crucial for maintaining data governance and security while enabling data sharing and collaboration.References: Snowflake Documentation on Reader Accounts

In Snowflake, tables represent a logical structure through which users interact with the stored data. The actual physical data is stored in micro-partitions managed by Snowflake, and the logical table structure provides the means by which SQL operations are mapped to this data. This architecture allows Snowflake to optimize storage and querying across its distributed, cloud-based data storage system.References: Snowflake Documentation on Tables

To upload data files from a local directory or folder on a client machine to an internal stage in Snowflake, the PUT command is used. The PUT command takes files from the local file system and uploads them to an internal Snowflake stage (or a specified stage) for the purpose of preparing the data to be loaded into Snowflake tables.

Syntax Example:

PUT file:// @;

This command is crucial for data ingestion workflows in Snowflake, especially when preparing to load data using the COPY INTO command.