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A data engineer is transforming a Bronze table containing API-response data into a Silver table. The Bronze table has a user_profile column of type STRING that contains JSON dat a. An example value is: {"user_id":"12345","name":"John Smith","age":32,"email":"[email protected]"} The Silver table must make this data easily queryable for analytics without requiring JSON parsing in every downstream query. Which approach standardizes this column for the Silver table?
Correct Answer: C
Option C extracts each JSON field into a separate Silver-table column and casts age to the appropriate integer type. get_json_object accepts a JSON string and a JSONPath expression rooted at $; paths such as $.user_id and $.age therefore identify the required top-level fields correctly. This produces analytics-ready columns and prevents downstream queries from repeatedly parsing the original JSON string. Option A returns one nested struct and incorrectly defines age as STRING, so further projection or casting would still be required. Option B attempts field notation directly on a STRING column, which is not valid until the JSON has been parsed into a structured type. Option D omits the required $ JSONPath root and leaves age uncast. Therefore, option C most completely standardizes the source data for the Silver layer.