Snowflake COF-C02 Practice Test - Questions Answers, Page 21

The FLATTEN table function in Snowflake is used to convert semi-structured data, such as JSON or XML, into a relational format.It expands nested arrays or objects into multiple rows, making the data suitable for relational querying3.

Pre-signed URLs in Snowflake allow users to access unstructured data without the need for authentication into Snowflake or passing an authorization token.These URLs are open and can be directly accessed or downloaded by any user or application, making them ideal for business intelligence applications or reporting tools that need to display unstructured file contents

For continuous data loads using Snowpipe, the recommended compressed file size range is between 100-250 MB.This size range is suggested to optimize the number of parallel operations for a load and to avoid size limitations, ensuring efficient and cost-effective data loading

A schema in Snowflake is a logical grouping of database objects, such as tables and views, that belongs to a single database.Each schema is part of a namespace in Snowflake, which is inferred from the current database and schema in use for the session5

Snowflake's virtual warehouses are responsible for query execution.They are clusters of compute resources that execute SQL statements, perform DML operations, and load data into tables

The cloud services layer of Snowflake architecture handles various aspects including security functions, authentication of user sessions, and access control, ensuring that only authorized users can access the data and services23.

Credit charges for Snowflake virtual warehouses are calculated based on the size of the virtual warehouse and the length of time the warehouse is running.The size determines the compute resources available, and charges are incurred for the time these resources are utilized

Snowflake supports several semi-structured data formats for loading data.The supported formats include JSON, Avro, and Parquet12. These formats allow for efficient storage and querying of data that does not conform to a traditional relational database schema.

The Snowflake feature that allows for small volumes of data to be continuously loaded into Snowflake and incrementally made available for analysis is Snowpipe.Snowpipe is designed for near-real-time data loading, enabling data to be loaded as soon as it's available in the storage layer3