vmartinez

Clicks are considered conversion events and appear as individual records within the amazon_attributed_events_* tables.

• True
• False

 

Explanation:

The correct answer is **False** because clicks are not considered conversion events in the Amazon Marketing Cloud (AMC) and do not appear as individual records within the amazon_attributed_events_* tables. While clicks are an important event in tracking user interactions with ads, they are typically considered a form of engagement rather than a conversion. Conversions generally refer to actions such as purchases or other goal completions that signify a successful outcome for the advertiser. In AMC, conversion events are typically associated with specific actions like purchases, and clicks are usually tracked separately from conversion events, serving as the initial step in the customer journey rather than the final action that qualifies as a conversion. Therefore, clicks do not appear as individual conversion records in these tables.

 

 

You must connect your organization’s AWS account to AMC in order to leverage the AMC APIs.

 

• True

 

• False

 

AMC supports most common SQL functions, but there are some unsupported SQL functions.

• True
• False

 

Explanation:

The correct answer is **True** because while Amazon Marketing Cloud (AMC) supports most common SQL functions, there are certain SQL functions that are not supported within the platform. AMC is built on top of a data querying system that uses SQL, but due to the nature of the platform and the specific requirements for handling large-scale advertising and marketing data, certain advanced or non-standard SQL functions may be limited or unavailable. For instance, functions that require complex processing or those not relevant to the type of data stored within AMC may not be supported. As such, users need to be aware of these limitations and adjust their queries accordingly by using supported SQL functions or employing workarounds to achieve the desired results.

 

Where can you find the details of the entities (Amazon DSP, sponsored ads, etc.) linked to an AMC Instance?

• Documentation panel
• Instance info panel
• Instructional queries panel
• Support center

 

Explanation:

The correct answer is **Instance info panel** because the Instance info panel in Amazon Marketing Cloud (AMC) provides detailed information about the entities linked to an AMC instance, such as Amazon DSP, Sponsored Ads, and other advertising products. This panel is designed to give users an overview of the various data sources connected to the instance, helping them understand the integration of different Amazon Ads media and ensuring they can access and analyze relevant data from these sources. The other options, such as the Instructional queries panel, Documentation panel, and Support center, do not provide the same level of detailed entity-specific information related to the linked advertising platforms within AMC.

 

 

Which event table can be used when attributing conversions to your campaign using custom logic (e.g., 28 day lookback window)?

 

• sponsored_ads_traffic
• dsp_impressions_by_user_segments
• conversions_with_relevance
• amazon_attributed_events_*

 

Explanation:

The correct answer is **conversions_with_relevance** because the **conversions_with_relevance** table is specifically designed to provide attribution of conversions to campaigns based on custom logic, such as applying a 28-day lookback window. This table allows you to track and attribute conversions while taking into account different attribution rules, such as custom time windows or other factors. It includes relevant conversion data tied to specific campaign events and their respective timing, making it ideal for creating custom attribution models. The other tables, like amazon_attributed_events_*, dsp_impressions_by_user_segments, and sponsored_ads_traffic, are used for general event tracking or audience segmentation but are not optimized for applying custom attribution logic like the **conversions_with_relevance** table.

 

 

Which table should you use in a query meant to help you choose new Amazon audiences that may benefit your Amazon DSP campaign performance?

 

• dsp_impressions_by_user_segments
• dsp_audiences
• dsp_impressions_by_matched_segments
• amazon_audiences

 

Explanation: The correct answer is **dsp_impressions_by_user_segments** because this table provides insights into the performance of Amazon DSP campaigns by breaking down impressions served to different user segments. By analyzing this table, you can identify which user segments have been exposed to your DSP ads and assess their behavior, helping you to choose new Amazon audiences that may benefit your campaign performance. The segmentation of users allows you to target specific groups based on their interactions with your campaigns, helping to optimize your audience strategy. The other tables, such as dsp_audiences, amazon_audiences, and dsp_impressions_by_matched_segments, either focus on different aspects of audience data or do not specifically provide the detailed user-level insights necessary for identifying new audiences to target.