How do secure views compare to non-secure views in Snowflake?
Correct : D
Secure views and non-secure views in Snowflake are differentiated primarily by their handling of data access and security rather than performance characteristics. A secure view enforces row-level security and ensures that the view definition is hidden from the users. However, in terms of performance, secure views do not inherently execute slower or faster than non-secure views. The performance of both types of views depends more on other factors such as underlying table design, query complexity, and system workload rather than the security features embedded in the views themselves.
Snowflake Documentation on Views: This section provides an overview of both secure and non-secure views, clarifying that the main difference lies in security features rather than performance, thus supporting the assertion that there are no inherent performance differences.
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When using SnowSQL, which configuration options are required when unloading data from a SQL query run on a local machine? {Select TWO).
Correct : C, D
When unloading data from SnowSQL (Snowflake's command-line client), to a file on a local machine, you need to specify certain configuration options to determine how and where the data should be outputted. The correct configuration options required are:
C . output_file: This configuration option specifies the file path where the output from the query should be stored. It is essential for directing the results of your SQL query into a local file, rather than just displaying it on the screen.
D . output_format: This option determines the format of the output file (e.g., CSV, JSON, etc.). It is crucial for ensuring that the data is unloaded in a structured format that meets the requirements of downstream processes or systems.
These options are specified in the SnowSQL configuration file or directly in the SnowSQL command line. The configuration file allows users to set defaults and customize their usage of SnowSQL, including output preferences for unloading data.
Snowflake Documentation: SnowSQL (CLI Client) at Snowflake Documentation
Snowflake Documentation: Configuring SnowSQL at Snowflake Documentation
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How can a Snowflake user post-process the result of SHOW FILE FORMATS?
Correct : A
first run SHOW FILE FORMATS
then SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(-1)))
https://docs.snowflake.com/en/sql-reference/functions/result_scan#usage-notes
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Which file function gives a user or application access to download unstructured data from a Snowflake stage?
Correct : C
The function that provides access to download unstructured data from a Snowflake stage is:
C . GET_PRESIGNED_URL: This function generates a presigned URL for a single file within a stage. The generated URL can be used to directly access or download the file without needing to go through Snowflake. This is particularly useful for unstructured data such as images, videos, or large text files, where direct access via a URL is needed outside of the Snowflake environment.
Example usage:
SELECT GET_PRESIGNED_URL('stage_name', 'file_path');
This function simplifies the process of securely sharing or accessing files stored in Snowflake stages with external systems or users.
Snowflake Documentation: GET_PRESIGNED_URL Function at Snowflake Documentation
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When should a multi-cluster virtual warehouse be used in Snowflake?
Correct : A
A multi-cluster virtual warehouse in Snowflake is designed to handle high concurrency and workload demands by allowing multiple clusters of compute resources to operate simultaneously. The correct scenario to use a multi-cluster virtual warehouse is:
A . When queuing is delaying query execution on the warehouse: Multi-cluster warehouses are ideal when the demand for compute resources exceeds the capacity of a single cluster, leading to query queuing. By enabling additional clusters, you can distribute the workload across multiple compute clusters, thereby reducing queuing and improving query performance.
This is especially useful in scenarios with fluctuating workloads or where it's critical to maintain low response times for a large number of concurrent queries.
Snowflake Documentation: Multi-Cluster Warehouses at Snowflake Documentation
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