Work with Views and Semi-Structured Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 9)

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 41–45

41foundation · easy
Which FLATTEN output column contains the key of each object element?
Select an answer first
42foundation · easy
In the output of the FLATTEN function, which column contains the zero-based index of the element within the array or object being flattened?
Select an answer first
43foundation · easy
Which MODE value should be used with the FLATTEN function to expand a top-level array into one row per array element?
Select an answer first
44application · medium
A data analyst has a VARIANT column named event_data that contains a JSON object. The analyst needs to convert this VARIANT to a JSON string to store in a separate STRING column. Which function should the analyst use?
Select an answer first
45foundation · easy
Which FLATTEN output column contains the value of the current element being processed?
Select an answer first

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Work with Views and Semi-Structured Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 9)

Questions 41–45

Which FLATTEN output column contains the key of each object element?

In the output of the FLATTEN function, which column contains the zero-based index of the element within the array or object being flattened?

Which MODE value should be used with the FLATTEN function to expand a top-level array into one row per array element?

A data analyst has a VARIANT column named event_data that contains a JSON object. The analyst needs to convert this VARIANT to a JSON string to store in a separate STRING column. Which function should the analyst use?

Which FLATTEN output column contains the value of the current element being processed?

Keep studying — Data Transformation and Data Modeling