Snowflake COF-C02 Practice Test - Questions Answers, Page 72

To handle a large number of complex queries, configuring the warehouse in auto-scale mode by increasing the number of warehouse clusters is recommended. This setup allows Snowflake to dynamically add clusters as demand increases, ensuring better performance and concurrency. Increasing the number of clusters provides scalability for concurrent users and heavy workloads, improving response times without impacting individual query performance.

To avoid timeouts during large data uploads with the PUT command in Snowflake, it is recommended to:

Compress files before loading: Compressed files are smaller and upload faster, reducing the risk of timeouts.

Increase the PARALLEL option value: This option allows more simultaneous upload threads, improving upload speed and efficiency for large datasets.

Semi-structured file formats and table staging do not directly impact timeouts, while enabling overwrite does not prevent timeouts but rather controls overwriting of existing files.

In Snowflake, the ownership privilege for a schema includes:

Automatic granting to the creator's role: The role that creates a database object within the schema automatically receives ownership of that object.

Ability to manage grants: Ownership enables the role to manage permissions and grants on the schema and its objects, allowing them to control access at the schema level.

Ownership does not directly confer query privileges or the ability to alter warehouse settings, nor is it transferable without specific privilege management actions.

Snowflake's Data Exchange allows data providers to publish data that is accessible only to users they explicitly invite. This mechanism ensures that only approved users or Snowflake accounts have access, adding a layer of security and control. Invited users can query the shared data directly within their Snowflake account without requiring data copies, reducing redundancy and enhancing data accessibility within controlled boundaries. This selective sharing feature is part of Snowflake's secure data-sharing capabilities.

In Snowflake, if a table is accidentally dropped but still within the data retention period (also known as 'Time Travel'), the simplest and most efficient recovery method is the UNDROP command. This command restores the deleted table to its previous state with minimal operational effort. Since Snowflake retains dropped table data for a specific retention period (up to 90 days for the Enterprise edition), UNDROP can quickly recover the table without the need for complex cloning or data reloading processes, making it ideal for accidental deletions.