vmartinez

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.

 

 

Which of the following Amazon services can be used to visualize aggregated AMC reports in a dashboard?

 

• Amazon IAM
• Amazon QuickSight
• Amazon S3

 

Explanation: The correct answer is **Amazon QuickSight** because Amazon QuickSight is a business intelligence service that can be used to visualize and create interactive dashboards from aggregated AMC reports. It allows users to analyze and visualize data from various sources, including Amazon Marketing Cloud (AMC), by providing powerful data visualization tools and pre-built templates for creating reports. With QuickSight, users can easily create customized dashboards to monitor and interpret key metrics from their AMC data. The other options, such as Amazon IAM (Identity and Access Management) and Amazon S3 (Simple Storage Service), serve different purposes and are not designed for data visualization. IAM is focused on managing access and permissions, while S3 is primarily used for storage, not for creating dashboards or visualizing reports.

 

What is the Amazon Ads attribution lookback window?

• 30-day
• 28-day
• 14-day
• 7-day

 

Explanation:

The correct answer is **14-day** because the Amazon Ads attribution lookback window is set to 14 days. This means that conversions attributed to a specific ad are tracked within 14 days of the customer’s interaction with the ad, whether it is a click or an impression. The 14-day window is used to measure the effectiveness of Amazon Ads in driving conversions, ensuring that the ad’s influence on a customer’s decision-making process is captured within a reasonable time frame. This window helps advertisers analyze the immediate impact of their ads while maintaining a balance between capturing relevant conversions and not including too much delayed activity. The other options, such as 28-day, 30-day, and 7-day, are not the standard attribution windows for Amazon Ads.

 

What is one limitation of AMC SQL?

• It cannot filter query results based on date range
• It cannot join tables from different databases
• Some common SQL functions are not currently supported

 

Explanation:

Amazon Marketing Cloud SQL (AMC SQL) is a powerful tool that allows you to query and analyze large amounts of data in Amazon Marketing Cloud. However, there are some limitations to AMC SQL that you should be aware of.

According to the Amazon Marketing Cloud Certification Assessment, one limitation of AMC SQL is that some common SQL functions are not currently supported . This means that you may not be able to use certain SQL functions that you are used to using in other contexts. For example, you may not be able to use the GROUP BY function or the HAVING function in AMC SQL.

Another limitation of AMC SQL is that it can be difficult to learn and use if you are not familiar with SQL. If you are new to SQL, you may find it challenging to write queries that return the data you need. However, there are many resources available online that can help you learn SQL and become proficient in using AMC SQL.

Despite these limitations, AMC SQL is a powerful tool that can help you analyze and understand your data in Amazon Marketing Cloud. By learning how to use AMC SQL effectively, you can gain valuable insights into your customers, your marketing campaigns, and your business as a whole.