AWS Certified Data Engineer Associate DEA-C01 Practice Question
AWS Glue cataloged two Amazon Athena tables: web_clicks (fact) with product_id and dim_products (dimension). New product_ids may appear in web_clicks before dim_products is updated. You need an Athena view that returns every click event and adds product_name when available, otherwise null. Which JOIN clause meets this goal?
SELECT ... FROM web_clicks w INNER JOIN dim_products d ON w.product_id = d.product_id
SELECT ... FROM web_clicks w LEFT JOIN dim_products d ON w.product_id = d.product_id
SELECT ... FROM web_clicks w FULL OUTER JOIN dim_products d ON w.product_id = d.product_id
SELECT ... FROM web_clicks w RIGHT JOIN dim_products d ON w.product_id = d.product_id
To keep every row from web_clicks regardless of whether matching product metadata exists, the query must preserve all rows from the left (click) table and add columns from the right (product) table when matches are found. A left outer join does exactly that, returning NULLs for columns from dim_products when no corresponding product_id exists. An inner join would drop unmatched click events, a right join would keep only rows where a product exists, and a full outer join would add extra rows from dim_products that have never been clicked-none of which satisfy the stated requirement.
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What is a LEFT JOIN in SQL?
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Why would an INNER JOIN not work in this case?
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Why wouldn’t an INNER JOIN work for this scenario?
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AWS Certified Data Engineer Associate DEA-C01
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