Questions

Why is the AMC sandbox a helpful environment for testing queries?

 

• The AMC sandbox supports a wider variety of SQL expressions
• The volume of records is larger than what an advertiser instance typically contains, allowing you to more quickly test your queries
• The AMC sandbox will provide query development guidance directly in the query editor
• The volume of records is smaller than what an advertiser instance typically contains, allowing you to more quickly test your queries

 

Explanation: The correct answer is **The volume of records is smaller than what an advertiser instance typically contains, allowing you to more quickly test your queries** because the AMC sandbox is a testing environment with a smaller dataset compared to a live advertiser instance. This reduced volume of records helps users run queries more quickly and efficiently during the development phase, allowing for faster iteration and testing of query logic without the delay that can occur when working with large volumes of data in a production environment. The sandbox is designed to simulate real data in a more controlled manner, which makes it easier to troubleshoot and refine queries before applying them to a larger dataset in an actual advertiser instance. The other options are incorrect because the sandbox is not intended to provide larger datasets, offer direct query guidance, or support a wider variety of SQL expressions.

 

This table contains impression and click events from Sponsored Products, Sponsored Brands, Sponsored Display, and Sponsored Television campaigns

• adserver_traffic
• sponsored_ads_traffic
• dsp_impressions_by_user_segments:
• conversions_with_relevance

 

Explanation:

The correct answer is **sponsored_ads_traffic** because this table specifically contains impression and click events from Amazon’s advertising campaigns, including Sponsored Products, Sponsored Brands, Sponsored Display, and Sponsored Television. These campaigns are part of Amazon’s advertising suite, and the **sponsored_ads_traffic** table aggregates data related to the traffic driven by these ad types, including both impressions and clicks, which are essential metrics for evaluating the performance of sponsored ads. The other options, such as conversions_with_relevance, adserver_traffic, and dsp_impressions_by_user_segments, focus on different types of data or ad-related events not directly tied to these specific campaign types.

 

Where can you activate AMC audiences?

• Amazon DSP
• Amazon Clean Rooms
• Seller Central
• AMC API’s

 

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.

 

Developers can access AMC APIs via the Amazon Ads API gateway.

• True
• False

 

Explanation:

The correct answer is **Audiences cannot be configured to refresh** because once an audience is created in Amazon Marketing Cloud (AMC), it cannot be automatically refreshed or updated on a regular basis. Audiences are typically created using SQL logic based on data and segmentation criteria, and while the audience can be redefined or modified by running new queries, there is no built-in functionality to automatically refresh the audience over time. The other statements are true: audiences in AMC must exceed 2,000 records to be valid for use, they cannot be directly modified once created, and they are created using SQL logic to define the user segments based on specific data criteria. Therefore, the false statement is about the inability to configure audience refreshes.

 

Paid features tables are only available in advertiser instances.

• True
• False

 

Explanation:

The correct answer is **False** because paid features tables are not limited to advertiser instances; they are also available in other types of instances within Amazon Marketing Cloud (AMC). While advertiser instances provide access to specific campaign data and performance metrics, paid features tables can be accessed in different types of AMC environments depending on the permissions and features enabled within the instance. These tables may include additional data relevant for advanced analytics and reporting, and their availability is not restricted solely to advertiser instances. Therefore, users in other types of instances, such as sandbox or manager instances, can also access paid features tables if their permissions allow it, making the statement incorrect.

 

What can Amazon shopping insights be used for?

• Understanding retail patterns
• Determining ad campaign correlation with purchases not directly attributed to ads
• Creating flexible reports for brands that sell on Amazon

 

Explanation: The correct answer is **Creating flexible reports for brands that sell on Amazon** because Amazon Shopping Insights is a powerful tool designed to help brands on Amazon generate customized and flexible reports that provide detailed data on their product performance, customer behavior, and sales trends. These reports can be tailored to a brand’s specific needs, offering insights into how products are performing in the marketplace, how customers are engaging with them, and other key metrics relevant to Amazon sales. This capability enables brands to make data-driven decisions to optimize their sales strategies and ad campaigns. While Amazon Shopping Insights can contribute to understanding retail patterns and ad campaign performance, its primary function is to create flexible, insightful reports for brands.