vmartinez

 

Which of these queries will only include purchase records from the underlying table?

 

• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM amazon_attributed_events_by_traffic_time GROUP BY 1
• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM amazon_attributed_events_by_traffic_time WHERE purchases = 1 GROUP BY 1
• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM conversions GROUP BY 1

 

Explanation: The correct answer is **SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM amazon_attributed_events_by_traffic_time WHERE purchases = 1 GROUP BY 1** because the query includes a **WHERE purchases = 1** condition, which filters the results to only include records where a purchase event has occurred. This ensures that only purchase records are included in the query output. By using the condition purchases = 1, the query focuses specifically on instances where a purchase has been made, excluding other event types such as impressions or clicks. The other queries do not have a specific condition to filter out non-purchase events, meaning they would include all types of events, not just purchases.

 

What is a primary usage of the UNION ALL function in AMC queries?

• To group records based on a specified field
• To unify events from different tables
• To summarize key fields in event tables

 

Explanation:

The correct answer is **To unify events from different tables** because the primary usage of the UNION ALL function in AMC queries is to combine records from multiple tables into a single result set, without removing duplicates. This is particularly useful when you want to aggregate events from different sources or tables, such as combining data from various advertising campaigns or event types. The UNION ALL function allows you to unify the data from these tables while retaining all rows, providing a complete view of all events, even if there are duplicates. This is different from other functions like grouping or summarizing fields, which focus on organizing or consolidating data within a single table.

 

 

There is not a field for campaign ID in the sponsored_ads_traffic table, so the _____________ field can be used to filter to traffic events from the relevant sponsored ads campaigns.

 

• supply_source
• user_id
• campaign
• sponsored_ads_traffic

 

 

What types of Sponsored Products records will have spend metrics?

 

• Records representing Sponsored Product view events
• Records representing audience membership insights for Sponsored Product impression events
• Records representing Sponsored Product impression events
• Records representing Sponsored Product click events

 

Explanation: The correct answer is **Records representing Sponsored Product click events** because spend metrics are associated with Sponsored Products campaigns when a user clicks on an ad. In a cost-per-click (CPC) campaign, advertisers are charged based on the clicks their ads receive, which is why spend metrics are tied to click events. These records will capture the cost incurred for each click, reflecting the direct financial impact of the ad engagement. The other types of records, such as those representing Sponsored Product impressions, view events, or audience membership insights, do not directly incur charges in the same way as clicks do, and therefore would not typically have spend metrics associated with them. Spend metrics are specific to events where an actual cost is incurred, such as clicks in CPC campaigns.

 

 

Which of these exploratory queries would allow you to generate a list of all Amazon DSP creative active during your chosen time window?

 

• SELECT creative, creative_id, SUM(impressions) AS impressions FROM sponsored_ads_traffic GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM dsp_impressions WHERE creative IS LIVE GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM amazon_attributed_events_by_traffic_time GROUP BY 1,2

 

Explanation: The correct answer is **SELECT creative, creative_id, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2** because the **dsp_impressions** table contains data specifically related to impressions served through Amazon DSP, and by querying it with the fields creative and creative_id, you can generate a list of all creatives active during the chosen time window. This query aggregates the impressions for each creative and its associated creative_id, allowing you to track their performance. The other options do not directly target the DSP creatives or may be related to different ad types or attribution models, making them less appropriate for this specific use case. The query provided in the correct answer ensures that you’re focusing on DSP creative activity, as reflected in the impressions data from the dsp_impressions table.

 

 

For sponsored ads Cost-per-Click (CPC) campaigns, only click events are eligible for attribution of conversion events.

• True
• False

 

Explanation:

In a Cost-per-Click (CPC) campaign for sponsored ads, attribution of conversion events typically occurs when a user clicks on the ad. In other words, the cost is associated with each click, and conversion events are attributed to those clicks. This is in contrast to other advertising models, such as Cost-per-Impression (CPM), where advertisers pay for the number of times their ad is displayed, regardless of clicks. In CPC, the focus is on user engagement through clicks, and conversions are often tracked based on those click events.