vmartinez

Where can you activate AMC rule-based audiences?

 

• Seller Central
• Amazon DSP
• Amazon Ad Server
• Amazon Clean Rooms

 

Explanation:

The correct answer is **Amazon DSP** because AMC audiences are activated within Amazon DSP (Demand-Side Platform). Amazon DSP allows advertisers to leverage audience data created in Amazon Marketing Cloud (AMC) for ad targeting in display, video, and other programmatic advertising formats across Amazon’s network. By integrating AMC audiences into DSP, advertisers can target specific user segments based on their behaviors, interests, and other attributes derived from the audience analysis in AMC. The other options, such as Amazon Clean Rooms, Seller Central, and AMC APIs, are not designed for the activation of audiences in the same way that Amazon DSP is, making DSP the correct platform for this purpose.

 

 

When determining total impressions served over a given date range, you can use dsp_impressions or dsp_views.

 

• True

 

• False

 

Explanation: The correct answer is **False** because when determining total impressions served over a given date range, you cannot simply use dsp_impressions or dsp_views alone. The dsp_impressions table tracks the number of impressions served, while dsp_views typically tracks the number of times an ad was viewed or interacted with. To accurately determine the total impressions served, a more comprehensive approach is needed that involves the correct usage of relevant tables and metrics, including filtering out duplicates and ensuring that all impression-related data is accounted for across different events. Additionally, the data in these tables might not represent the total impressions in the desired timeframe without additional context or processing.

 

What is an exploratory query?

• A query run to understand what is live within your connected Amazon Ads accounts or to quickly get campaign IDs or other values used to filter in another query
• A query that tests whether a specific audience segment or segments may prove valuable for your campaign’s key performance indicators (KPIs)
• A query that asseses the efficacy of your marketing strategy; insights from this type of query can be used to refine your Amazon Ads media mix
• A query that tests whether a specific supply source may prove valuable for your campaign’s key performance indicators (KPIs)

 

Explanation:

The correct answer is **A query run to understand what is live within your connected Amazon Ads accounts or to quickly get campaign IDs or other values used to filter in another query** because an **exploratory query** is typically used to gather quick insights or data points, such as identifying what campaigns are currently active or retrieving campaign IDs and other relevant values. These queries are not focused on detailed analysis or testing specific KPIs, but rather on exploring and understanding the data landscape, making it easier to design more targeted, in-depth queries later. The exploratory query helps users familiarize themselves with the available data, so they can decide what further information is needed for deeper analysis. The other options, while related to analysis and performance, describe queries that are more focused on specific testing or strategic assessment rather than simple data exploration.

 

 

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