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The Snowpark API allows developers to create User-Defined Functions (UDFs) in various languages, including Python, which is known for its ease of use and wide adoption in data-related tasks.Reference:Based on general programming and cloud data service knowledge as of 2021.

The SnowSQL file that can store connection information is named 'config'. It is used to store user credentials and connection details for easy access to Snowflake instances.Reference:Based on general database knowledge as of 2021.

Snowflake provides Multi-Factor Authentication (MFA) support as an integrated feature, powered by the Duo Security service.This service is managed completely by Snowflake, and users do not need to sign up separately with Duo1

Snowflake reorganizes data into its internal optimized, compressed, columnar format in the Database Storage layer.This process is part of how Snowflake manages data storage, ensuring efficient data retrieval and query performance

Even if a developer is granted ownership of a table with a masking policy, they will not be able to modify the table to read the masked data if their role does not have the necessary permissions. Ownership of a table does not automatically confer the ability to alter masking policies, which are designed to protect sensitive data.Masking policies are applied at the schema level and require specific privileges to modify12.[COF-C02] SnowPro Core Certification Exam Study GuideSnowflake Documentation on Masking Policies

Data Robot is recognized as a machine learning and data science partner within the Snowflake Partner Ecosystem. It provides an enterprise AI platform that enables users to build and deploy accurate predictive models quickly.As a partner, Data Robot integrates with Snowflake to enhance data science capabilities2.[COF-C02] SnowPro Core Certification Exam Study GuideSnowflake Documentation on Machine Learning & Data Science Partnershttps://docs.snowflake.com/en/user-guide/ecosystem-analytics.html

Alation is known for specializing in data catalog solutions and is a partner of Snowflake. Data catalog solutions are essential for organizations to effectively manage their metadata and make it easily accessible and understandable for users, which aligns with the capabilities provided by Alation.[COF-C02] SnowPro Core Certification Exam Study GuideSnowflake's official documentation and partner listings

Parquet is a columnar storage file format that is optimized for performance in Snowflake. It is designed to be efficient for both storage and query performance, particularly for complex queries on large datasets. Parquet files support efficient compression and encoding schemes, which can lead to significant savings in storage and speed in query processing, making it the most performant file format for loading data into Snowflake.[COF-C02] SnowPro Core Certification Exam Study GuideSnowflake Documentation on Data Loading1

The Information Schema and Account Usage Share in Snowflake provide metadata and historical usage data for various objects within a Snowflake account. Specifically, they offer storage information forTables,Databases, andInternal Stages. These schemas contain views and table functions that allow users to query object metadata and usage metrics, such as the amount of data stored and historical activity.Tables: The storage information includes data on the daily average amount of data in database tables.Databases: For databases, the storage usage is calculated based on all the data contained within the database, including tables and stages.Internal Stages: Internal stages are locations within Snowflake for temporarily storing data, and their storage usage is also tracked.

Reader accounts in Snowflake are designed to allow users to read data shared with them but do not have the capability to extract data for use outside of Snowflake. They are intended for consuming shared data within the Snowflake environment only.