DAA-C01 Exam Dumps | You have a requirement to load semi-structured JSON data from an internal stage into a Snowflake table.

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Question 39/151

You have a requirement to load semi-structured JSON data from an internal stage into a Snowflake table. The JSON data contains nested arrays and objects. You need to flatten specific elements from these nested structures into separate columns in the target table during the load process. Assuming the internal stage is already configured, which of the following 'COPY INTO' statement snippets would correctly extract and load the 'city' from the 'address' object within the JSON, and the first element (index 0) of the phoneNumbers' array into corresponding columns in the target table?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: E

Option E is correct. It uses a SELECT statement within the 'COPY INTO' command to extract the desired nested elements. '$1 retrieves the 'city' value from the 'address' object and '$1 retrieves the first element of the 'phoneNumberS array. explicitly casts the extracted values to VARCHAR. Option B is similar, but misses the explicit cast to VARCHAR. Without the cast, Snowflake may infer a different data type, leading to errors during load. Option A will fail because it relies on column name matching, which won't work for nested JSON elements. Options C and D have incorrect syntax for extracting nested elements within the COPY INTO command.

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