How do you use FLATTEN with multiple path expressions to extract data from multiple levels of nesting?

By using multiple FLATTEN functions in the FROM clause

By using a single FLATTEN with a comma-separated path

By using the RECURSIVE parameter

In Snowflake, when using the FLATTEN function on a VARIANT column that contains nested arrays, what is the effect of setting the RECURSIVE parameter to TRUE?

It recursively flattens all nested arrays and objects within the input, producing a row for each leaf element.

It causes FLATTEN to return only the outermost array and ignore any nested structures.

It flattens only the top-level array elements, leaving nested arrays intact.

It makes FLATTEN fail if the input contains any nested arrays or objects.

In a Snowflake SQL query, what is the purpose of specifying OUTER => TRUE in a FLATTEN function call?

It flattens nested arrays recursively to any depth.

It returns rows even when the input path or the flattened array/object is empty or NULL.

It includes only the first element of each array or object.

It excludes rows where the flattened value is NULL.

A data analyst has a relational table with columns customer_id, first_name, and last_name. The analyst needs to create a VARIANT column that contains a JSON object with these fields, and then serialize it to a JSON string for export. Which functions should the analyst use?

OBJECT_CONSTRUCT, then PARSE_JSON

Snowflake SnowPro Advanced:Data Analyst

Domain 3Objective 3

Work with Views and Semi-Structured Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 1)

Part of the Data Transformation and Data Modeling domain, which accounts for 23% of the SNOWPRO-ADVANCED-DATA-ANALYST exam.

116questions here

24free pages

47concepts

23%of the exam

47 Concepts in This Objective

Create and manage views
Use secure views
Use materialized views
Work with recursive views
Parse semi-structured data
Query semi-structured data
Use the FLATTEN function
Use the LATERAL flatten technique
Handle nested data structures
Convert between structured and semi-structured data
Use the GET_PATH and similar functions
Use the ARRAY and OBJECT functions
Use the PARSE_JSON and TO_JSON functions
Use the AS_OF and AT timestamp functions
Use the SAMPLE clause
Use the RESULT_SCAN function
Use the TABLE function
Use the GET_PATH function with arrays
Use the FLATTEN function with arrays
Use the FLATTEN function with objects
Use the FLATTEN function with nested structures
Use the FLATTEN function with multiple paths
Use the FLATTEN function with lateral joins
Use the FLATTEN function with the OUTER parameter
Use the FLATTEN function with the MODE parameter
Use the FLATTEN function with the INPUT parameter
Use the FLATTEN function with the PATH parameter
Use the FLATTEN function with the SEQ parameter
Use the FLATTEN function with the KEY parameter
Use the FLATTEN function with the VALUE parameter
Use the FLATTEN function with the THIS parameter
Use the FLATTEN function with the RECURSIVE parameter
Use the FLATTEN function with the OUTER and RECURSIVE parameters
Use the FLATTEN function with the MODE and RECURSIVE parameters
Use the FLATTEN function with the INPUT and PATH parameters
Use the FLATTEN function with the SEQ and KEY parameters
Use the FLATTEN function with the VALUE and THIS parameters
Use the FLATTEN function with the OUTER and MODE parameters
Use the FLATTEN function with the RECURSIVE and OUTER parameters
Use the FLATTEN function with the RECURSIVE and MODE parameters
Use the FLATTEN function with the RECURSIVE, OUTER, and MODE parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, and INPUT parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, INPUT, and PATH parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, INPUT, PATH, and SEQ parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, INPUT, PATH, SEQ, and KEY parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, INPUT, PATH, SEQ, KEY, and VALUE parameters
Use the FLATTEN function with the RECURSIVE, OUTER, MODE, INPUT, PATH, SEQ, KEY, VALUE, and THIS parameters

Questions 1–5

1foundation · easy
How do you use FLATTEN with multiple path expressions to extract data from multiple levels of nesting?
Select an answer first
2foundation · easy
In Snowflake, when using the FLATTEN function on a VARIANT column that contains nested arrays, what is the effect of setting the RECURSIVE parameter to TRUE?
Select an answer first
3foundation · easy
What is the index of the first element in a Snowflake array?
Select an answer first
4foundation · easy
In a Snowflake SQL query, what is the purpose of specifying OUTER => TRUE in a FLATTEN function call?
Select an answer first
5application · medium
A data analyst has a relational table with columns customer_id, first_name, and last_name. The analyst needs to create a VARIANT column that contains a JSON object with these fields, and then serialize it to a JSON string for export. Which functions should the analyst use?
Select an answer first

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