vmartinez

Iris, a consumer electronics brand, recently started using AMC to perform analytics on events related to their Amazon Ads campaigns. Why should Iris consider using the instructional query library?

• Iris should not consider using the instructional query library as it does not apply to advertiser uploaded inputs
• To ensure minimum aggregation thresholds are met on all queries
• To find a searchable list of AMC tables and fields available to query, including Amazon Ads events and tables uploaded by Iris
• To save time and reduce errors when compared to writing custom SQL queries from scratch

 

Explanation:

The correct answer is **To save time and reduce errors when compared to writing custom SQL queries from scratch** because the **instructional query library** in Amazon Marketing Cloud (AMC) provides pre-built SQL query templates designed to help users, like Iris, quickly perform common types of analysis without having to write custom SQL queries from scratch. These templates are valuable because they offer guidance and structure, reducing the potential for errors and making it easier to execute queries effectively. By using the instructional query library, Iris can save time and focus on interpreting the results, rather than spending time on query construction and debugging. The other options are not as relevant, as the instructional query library is focused on simplifying query writing and does not specifically serve as a list of available tables or a way to meet aggregation thresholds.

 

This panel provides access to additional subscription-based insights from Amazon or third parties; these insights can be joined with your Amazon Ads events that are already available in AMC.

• Query editor
• Paid features
• Instructional queries
• Instance info

 

Explanation: The correct answer is Paid features because the Paid features panel in Amazon Marketing Cloud (AMC) provides access to additional, subscription-based insights that can be integrated with your existing Amazon Ads events within the platform. These insights may come from Amazon or third-party sources and are designed to enhance the depth of analysis by allowing you to combine external data with your internal Amazon Ads performance data. By using the Paid features panel, you can enrich your reports and analyses with additional data points that help optimize campaign strategies. The other options—Instructional queries, Instance info, and Query editor—do not provide access to subscription-based external insights but instead focus on query building, instance details, and instructional guidance for users.

 

There is no universal methodology or join key that can be used to combine tables in all query scenarios.

 

• True

 

• False

 

Explanation:

The correct answer is **True** because there is no universal methodology or join key that can be used to combine tables in all query scenarios in Amazon Marketing Cloud (AMC). Each query scenario may involve different types of data, which require specific join conditions based on the tables involved. The relationship between tables in AMC depends on the context of the data being analyzed, such as whether you are working with campaign data, conversion events, impressions, or other metrics. As a result, the join keys and methodology need to be carefully chosen to match the data structure and the specific objective of the analysis. For example, a join key for linking campaign data to conversion events might differ from one used to link user data to impression data. Therefore, the way tables are joined and the keys used must be tailored to the specific query scenario.

 

 

Which of the following statements about the amazon_attributed_events_* tables is true.

 

• Amazon Ads attribution logic allows a conversion to be attributed to multiple traffic events
• Conversions can be attributed to Amazon DSP or sponsored ads campaign traffic
• Tables may include multiple records for each conversion
• Conversions are only available for on-Amazon events, such as purchases and detail page views

 

Explanation: The correct answer is **Conversions can be attributed to Amazon DSP or sponsored ads campaign traffic**. This statement is true because the **amazon_attributed_events_* tables** track conversions that can be attributed to Amazon DSP or sponsored ads campaign traffic. These tables record one entry per conversion, which includes both on-Amazon events (such as purchases and detail page views) and off-Amazon events tracked via Events Manager. Events Manager allows advertisers to define conversions for activities tracked through Amazon Ad Tag (AAT), Conversions API (CAPI), or Mobile Measurement Partners (MMP), such as browsing on a brand’s site, in-store transactions, or purchases from a brand’s app. The tables also ensure that each conversion is linked to only one traffic event, meaning each conversion can only be attributed to a single traffic source, either through Amazon DSP or Sponsored Ads.

 

Which of these statements is false regarding rule-based audiences?

 

• Audiences cannot be configured to refresh
• Audiences are created via SQL logic
• Audiences must exceed 2000 records
• Audiences cannot be modified once created

or

• Audiences will always refresh on a daily cadence
• Audiences are created via SQL logic
• Audiences cannot be modified once created
• Audiences must exceed 2000 records

 

What is the max window over which AMC can accrue Amazon Ads events?

• AMC will accrue and retain up to 12.5 months of events
• AMC will accrue and retain events in perpetuity
• AMC will accrue and retain up to 1 month of events
• AMC will accrue and retain up to 90 days of events

 

Explanation:

The correct answer is **AMC will accrue and retain up to 12.5 months of events** because Amazon Marketing Cloud (AMC) retains Amazon Ads events for a maximum of 12.5 months. This retention period allows advertisers to analyze long-term trends, performance, and audience behavior over a significant period, providing valuable insights for optimization and strategy. While AMC can aggregate data from this time frame, this retention limit is set to ensure manageable data storage and processing capabilities. The other options are incorrect as they underestimate the duration for which AMC retains events, making them inaccurate.