How would you adapt this query to limit results to Sponsored Products keyword targeting only? SELECT ad_product_type, targeting, customer_search_term, match_type, SUM(spend)/100000000 AS total_cost_dollars,((SUM(spend)/100000000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions, SUM(clicks) AS clicks, (SUM(clicks)/SUM(impressions)) AS ctr FROM sponsored_ads_traffic WHERE match_type IN('PHRASE', 'BROAD', 'EXACT') GROUP BY 1,2,3,4

Add LIMIT clause: LIMIT sponsored_products

Adjust WHERE statement to: WHERE match_type IN('PHRASE', 'BROAD', 'EXACT') AND ad_product_type = 'sponsored_products'

Adjust SELECT statement to include the sponsored_products field

Adjust FROM statement to: FROM sponsored_products


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How would you adapt this query to limit results to Sponsored Products keyword targeting only? SELECT ad_product_type, targeting, customer_search_term, match_type, SUM(spend)/100000000 AS total_cost_dollars,((SUM(spend)/100000000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions, SUM(clicks) AS clicks, (SUM(clicks)/SUM(impressions)) AS ctr FROM sponsored_ads_traffic WHERE match_type IN(‘PHRASE’, ‘BROAD’, ‘EXACT’) GROUP BY 1,2,3,4


Explanation: The correct answer is **Adjust WHERE statement to: WHERE match_type IN('PHRASE', 'BROAD', 'EXACT') AND ad_product_type = 'sponsored_products'** because to limit the query results specifically to Sponsored Products keyword targeting, the **WHERE** clause should be modified to include an additional condition that filters for **ad_product_type = 'sponsored_products'**. This ensures that the query returns data only for Sponsored Products campaigns, specifically targeting the desired match types (PHRASE, BROAD, EXACT). The other options are incorrect because adding a **LIMIT** clause does not filter for Sponsored Products, modifying the **SELECT** statement to include the **sponsored_products** field is unnecessary, and adjusting the **FROM** statement to **sponsored_products** is not the correct way to filter the data for keyword targeting. The **WHERE** clause modification is the most effective way to filter the data as required.

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