vmartinez

 

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.

 

What are the two ways to access AMC?

• Through the APIs or CLI
• Through the APIs or AWS
• Through the UI or the APIs

 

Explanation:

The correct answer is **Through the UI or the APIs** because Amazon Marketing Cloud (AMC) can be accessed in two primary ways: through the user interface (UI) and the APIs. The **UI** provides a graphical interface where users can interact with AMC, query data, view reports, and use various tools for analysis without needing to write code. This is ideal for users who prefer a visual, more user-friendly way of working with the platform. On the other hand, the **APIs** allow for programmatic access to AMC, enabling users to automate queries, retrieve data, and integrate AMC functionality into their systems. This flexibility provides both technical and non-technical users with the ability to interact with AMC depending on their preferences and needs. The other options involving CLI or AWS are incorrect, as they do not directly reflect the primary methods of accessing AMC.

 

The ___________ function can be used to append a string to ID fields (such as campaign_id), preventing issues reading the accurate ID values within Excel.

• CONCAT
• COLLECT
• SUM

 

Explanation:

The correct answer is **CONCAT** because the CONCAT function is used to combine or append strings, such as appending a string to ID fields like campaign_id. This helps prevent issues when reading or interpreting ID values in Excel, especially when the ID might be treated incorrectly or split across multiple columns. By using CONCAT, you ensure that the campaign_id remains in a single, cohesive value, making it easier to work with in Excel or other tools that might misinterpret or format the data differently. The other options, COLLECT and SUM, are not appropriate for appending strings and are used for other purposes such as gathering or adding numerical data.

 

How would you adapt this query to limit results to Sponsored Products keyword targeting only?

SELECT ad_product_type, targeting, customer_search_term,
match_type, SUM(spend)/100000000 AS total_cost_dollars,((SUM(spend)/100000000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions, SUM(clicks) AS clicks, (SUM(clicks)/SUM(impressions)) AS ctr FROM sponsored_ads_traffic WHERE match_type IN(‘PHRASE’, ‘BROAD’, ‘EXACT’) GROUP BY 1,2,3,4

• Adjust SELECT statement to include the sponsored_products field
• Adjust FROM statement to: FROM sponsored_products
• Add LIMIT clause: LIMIT sponsored_products
• Adjust WHERE statement to: WHERE match_type IN(‘PHRASE’, ‘BROAD’, ‘EXACT’) AND ad_product_type = ‘sponsored_products’

 

Explanation:

The correct answer is **Adjust WHERE statement to: WHERE match_type IN(‘PHRASE’, ‘BROAD’, ‘EXACT’) AND ad_product_type = ‘sponsored_products’** because to limit the query results specifically to Sponsored Products keyword targeting, the **WHERE** clause should be modified to include an additional condition that filters for **ad_product_type = ‘sponsored_products’**. This ensures that the query returns data only for Sponsored Products campaigns, specifically targeting the desired match types (PHRASE, BROAD, EXACT). The other options are incorrect because adding a **LIMIT** clause does not filter for Sponsored Products, modifying the **SELECT** statement to include the **sponsored_products** field is unnecessary, and adjusting the **FROM** statement to **sponsored_products** is not the correct way to filter the data for keyword targeting. The **WHERE** clause modification is the most effective way to filter the data as required.