Performance reporting, such as Path to Conversion reporting, can be constrained to specific conversion events (e.g. purchases of a specific ASIN).
False
True
Correct Answer
True
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About the Amazon Marketing Cloud Certification
The Amazon Marketing Cloud Certification covers Amazon's clean-room analytics environment: how AMC data is structured, writing SQL queries against it, and turning results such as overlap and path-to-conversion analysis into audience and media decisions.
Exam guide and all 95 Amazon Marketing Cloud questions →Related Amazon Marketing Cloud questions
- 1Why should you wait until 14 days after the end date of your query date range to run analyses that leverage the amazon_attributed_events_by_traffic_time table?
- 2Which of these use cases can be achieved when using Amazon Ads events in conjunction with first-party inputs?
- 3Rule-based audience creation leverages a separate set of tables than those utilized for AMC reporting.
- 4If you run multiple Amazon DSP and sponsored ads campaigns and reached similar audiences, which query can help you understand your customers’ conversion paths that have the highest conversion rate?
- 5Which table should you use in a query meant to help you choose new Amazon audiences that may benefit your Amazon DSP campaign performance?
- 6SELECT supply_source, SUM (total_cost)/100000000 AS total_cost_dollars, ((SUM (total_cost)/100000000)/SUM (impressions)) *1000 AS avg_cpm, SUM (impressions) AS impressions FROM dsp_inventory GROUP BY 1 SELECT supply_source, SUM (total_cost)/100000 AS total_cost_dollars, ((SUM (total_cost)/100000)/SUM (impressions)) *1000 AS avg_cpm, SUM (impressions) AS impressions FROM dsp_impressions GROUP BY 1,2 SELECT supply_source, SUM (total_cost)/100000 AS total_cost_dollars, ((SUM (total_cost)/100000)/SUM (impressions)) *1000 AS avg_cpm, SUM (impressions) AS impressions FROM dsp_impressions GROUP BY 1 The correct answer is: SELECT supply_source, SUM (total_cost)/100000 AS total_cost_dollars, ((SUM (total_cost)/100000)/SUM (impressions)) *1000 AS avg_cpm, SUM (impressions) AS impressions FROM dsp_impressions GROUP BY 1 Explanation: That’s the correct query. Here is an explanation of the adaptation and why it works: The adapted query focuses on aggregating the desired metrics at the supply_source level, utilizing fields available in the dsp_impressions table: SQL SELECT supply_source, SUM(total_cost) / 100000 AS total_cost_dollars, ((SUM(total_cost) / 100000) / SUM(impressions)) * 1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1 🔍 Explanation of Changes The core principle of the adaptation is to replace the previous grouping dimensions with the single dimension required: supply_source .Multiple correct