What is the purpose of using LATERAL FLATTEN in a query?

To join semi-structured data with other tables

To convert a JSON string to a VARIANT

What is a key benefit of using a MATERIALIZED VIEW in Snowflake?

It allows direct updates to the underlying base tables

It hides the underlying table structure from users

It provides real-time data without any storage overhead

It automatically maintains and refreshes the view data

Snowflake SnowPro Advanced:Data Analyst

Domain 3Objective 3

Work with Views and Semi-Structured Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 20)

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 96–100

96foundation · easy
Which keyword is used with FLATTEN to enable lateral joins?
Select an answer first
97foundation · easy
What is the purpose of using LATERAL FLATTEN in a query?
Select an answer first
98foundation · easy
What is a key benefit of using a MATERIALIZED VIEW in Snowflake?
Select an answer first
99foundation · easy
Which FLATTEN parameter, when set to TRUE, causes the function to process nested arrays and objects beyond the first level?
Select an answer first
100foundation · easy
Which FLATTEN output column contains the path to the element within the flattened structure?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to SNOWPRO-ADVANCED-DATA-ANALYST

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Snowflake. “SNOWPRO-ADVANCED-DATA-ANALYST” is a trademark of its owner, used for identification only.

Work with Views and Semi-Structured Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 20)

Questions 96–100

Which keyword is used with FLATTEN to enable lateral joins?

What is the purpose of using LATERAL FLATTEN in a query?

What is a key benefit of using a MATERIALIZED VIEW in Snowflake?

Which FLATTEN parameter, when set to TRUE, causes the function to process nested arrays and objects beyond the first level?

Which FLATTEN output column contains the path to the element within the flattened structure?

Keep studying — Data Transformation and Data Modeling