Snowflake DEA-C01 Dumps

The methods that can be used to create a DataFrame object in Snowpark are session.read.json(), session.table(), and session.sql(). These methods can create a DataFrame from different sources, such as JSON files, Snowflake tables, or SQL queries. The other options are not methods that can create a DataFrame object in Snowpark. Option A, session.jdbc_connection(), is a method that can create a JDBC connection object to connect to a database. Option D, DataFrame.write(), is a method that can write a DataFrame to a destination, such as a file or a table. Option E, session.builder(), is a method that can create a SessionBuilder object to configure and build a Snowpark session.

This option is the best way to transform relational data into semi-structured data using the least amount of operational overhead. The OBJECT_CONSTRUCT function takes a variable number of key-value pairs as arguments and returns a Snowflake object, which is a variant type that can store JSON data. The function can be used to convert each row of relational data into a JSON object with the column names as keys and the column values as values.

Snowflake’s query results caching capabilities allow users to reuse the results of previously executed queries without re-executing them. For this to happen, the following conditions must be met:

• The results must be reused within 24 hours (not 72 hours), which is the default time-to-live (TTL) for cached results.
• The query must be executed using any virtual warehouse (not necessarily the same one), as long as it is in the same region and account as the original query.
• The USED_CACHED_RESULT parameter does not need to be included in the query, as it is enabled by default at the account level. However, it can be disabled or overridden at the session or statement level.
• The table structure contributing to the query result cannot have changed, such as adding or dropping columns, changing data types, or altering constraints.
• The new query must have the same syntax as the previously executed query, including whitespace and case sensitivity.
• The micro-partitions cannot have changed due to changes to other data in the table, such as inserting, updating, deleting, or merging rows.