A data analyst is creating a new dataset that involves bringing together the following datasets:NameIDDate...

This question falls under theData Concepts and Environmentsdomain, focusing on database operations like joins. A FULL JOIN combines all rows from both tables, including matches and non-matches, filling in NULLs where there’s no corresponding data.

The first table has IDs: 23525 (Frank), 11290 (Martha), 12141 (Ellen).

The second table has IDs: 23525, 11040, 11290.

A FULL JOIN includes all IDs: 23525, 11290, 12141, 11040.

23525 matches (Frank with 1234 Harding, Chicago, IL).

11290 matches (Martha with 2 Speedway, Miami, FL).

12141 has no match in the second table, so Address, City, and State are NULL.

11040 has no match in the first table, so Name and Date of birth are NULL.

Option A: Incorrect; it includes a row for Ellen with "2 Speedway," but Ellen’s ID (12141) doesn’t match any address, and 11040 is missing.

Option B: Identical to Option A, so incorrect for the same reasons.

Option C: Incorrect; it mismatches addresses (e.g., Ellen with 935 Terrace Hills, which belongs to 11040).

Option D: Correct; it includes all IDs, with NULLs for non-matching rows (Ellen has no address, and 11040 has no name).

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as performing joins in relational databases.