Amazon Marketing Cloud Certification Answers

Amazon Marketing Cloud Certification Answers

Amazon Marketing Cloud (AMC) is a secure, cloud-based clean room solution that allows advertisers to perform analytics across pseudonymized signals, including Amazon Ads event tables as well as their own inputs. The Amazon Marketing Cloud Certification validates an individual's proficiency using the AMC user interface and their ability to leverage event tables to write queries and generate advanced performance reports.

 

Exam Url: https://learningconsole.amazonadvertising.com/student/path/36272-amazon-marketing-cloud-certification?sid=5d357e06-4896-4acf-bb3f-a1bf59ae6766&sid_i=8

 

Amazon Marketing Cloud Certification Assessment

 

This assessment is comprised of 50 questions which cover topics related to the Amazon Marketing Cloud Certification.

• You will have 120 minutes to complete the assessment.
• Achieve a score of 80% to pass the assessment.
• If you end the assessment early or the timer runs out before you have answered all questions, you will not pass and will not be able to resume where you left off.
• You may not review your answers once they've been submitted.
• You may attempt the assessment again after 24 hours.

All answers to pass this certification are only in our .PDF file, you can buy and download here:

 

Amazon Marketing Cloud Certification Answers

 

Questions:

 

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.

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

 

What is an exploratory query?

• A query that tests whether a specific supply source may prove valuable for your campaign’s key performance indicators (KPIs)
• A query that tests whether a specific audience segment or segments may prove valuable for your campaign’s key performance indicators (KPIs)
• A query that asseses the efficacy of your marketing strategy; insights from this type of query can be used to refine your Amazon Ads media mix
• A query run to understand what is live within your connected Amazon Ads accounts or to quickly get campaign IDs or other values used to filter in another query

 

Which of the following statements about paid features (beta) is false?

• Paid features are offered as a monthly subscription and can be managed by the administrator of your AMC account
• Paid features provide access to subscription-based tables that can be used in conjunction with the standard tables available in AMC
• Paid features allow advertisers to upload their own first-party insights to better understand the shopping journey

 

AMC users have access to all AMC instances in an account by default.

• True
• False

Explanation: The correct answer is False because AMC users do not automatically have access to all AMC instances within an account by default. Access to AMC instances is controlled by permissions and roles that are set by administrators, and each user is typically granted access to specific instances based on their role and the requirements of their work. This helps ensure data security and appropriate access levels, as different users may need access to different sets of data depending on their responsibilities. Therefore, it is not true that all AMC users have access to every instance within an account without explicit permissions being granted.

 

Which two functions can be used together to filter records based on presence of a string within a column’s values?

• WHERE, SIMILAR TO
• WHERE, LIKE
• WHERE, COLLECT
• WHERE, CONCAT

 

Display ads purchased with Amazon DSP can run on Amazon-owned inventory and third-party inventory in both desktop and mobile environments.

• False
• True

 

New-to-brand metrics are only relevant for __________.

• add to cart events
• pixel events
• detail page view events
• purchase events

 

A single on-Amazon transaction that includes multiple ASINs from your brand will be represented by a single conversion event within each of the amazon_attributed_events_* tables.

• True
• False

 

Custom parameters help make queries more reusable because they __________.

• allow you to run a single query across multiple instances in parallel
• eliminate the need to hard-code values directly into your SQL code
• enable you to publish custom queries to your team’s AMC instance

 

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

• conversions_with_relevance
• sponsored_ads_traffic
• adserver_traffic
• dsp_impressions_by_user_segments:

 

Which of these statements is false regarding the amazon_attributed_events_by_conversion_time table?

• The time window used for your query will apply to the time of the conversion event
• You can leverage the impressions column to calculate total impressions served in the query timeframe
• The conversions field will always contain a value of 1
• Conversions included within this table have occurred within 14 days of a traffic event

 

Why is it considered a good best practice to exclude NULL user_id values from reach and frequency queries?

• Because NULL user_id values are deemed invalid traffic in post-impression server-side models.
• This would be redundant; records with NULL user_id values have been removed upstream of query processing anyway.
• Reach and frequency cannot be accurately determined for NULL user_id values, so this group is excluded to prevent NULL user_id values from skewing the results.

 

The __________ field functions as a grouping indicator for the impression and any associated clicks, view events, or conversion events.

• engagement_scope
• conversions
• purchases
• request_tag

 

What is a primary usage of the UNION ALL function in AMC queries?

• To group records based on a specified field
• To summarize key fields in event tables
• To unify events from different tables

 

Why would this query fail? SELECT campaign, SUM(impressions) AS impressions FROM dsp_impressions

• There is no GROUP BY statement; this query cannot be run without aggregation on the campaign dimension.
• There is no WHERE clause to filter the query results based on one or more conditions.
• SELECT statements can not be used to choose metrics from a table.

 

Which of the following statements about AMC lookalike (LAL) audiences is false?

• AMC LAL features are identical to Amazon DSP LAL features
• AMC LAL audiences are often a fit for prospecting tactics
• The seed for the AMC LAL audience is composed using AMC SQL
• The seed for the AMC LAL audience is composed using AMC SQL

 

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

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

 

user_id values cannot be viewed in the AMC user interface or downloaded from AMC.

• False
• True

 

When determining total impressions served over a given date range, you can use dsp_impressions or dsp_views.

• False
• True

 

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

 

What can Amazon shopping insights be used for?

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

 

Since the amazon_attributed_events_* tables contain ad-attributed conversions across all of your Amazon Ads media, you can aggregate them by sponsored ads vs. Amazon DSP using the __________.

• conversion_event_category field
• ad_product_type field
• traffic_event_type field
• supply_source field

 

Which signals are not available within AMC?

• Ad-relevant conversions with a 60-day lookback window
• Ad-attributed conversions with a 14-day lookback window
• Ad-relevant conversions with a 28-day lookback window

 

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

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

 

What is the Amazon Ads attribution lookback window?

• 28-day
• 30-day
• 14-day
• 7-day

 

Which of these queries will only include purchase records from the underlying table?

• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM conversions GROUP BY 1
• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM amazon_attributed_events_by_traffic_time WHERE purchases = 1 GROUP BY 1
• SELECT campaign, COUNT(DISTINCT user_id) AS purchasers, SUM(purchases) AS purchases FROM amazon_attributed_events_by_traffic_time GROUP BY 1

 

Which environment allows you to inspect AMC tables at record level?

• An AMC sandbox instance
• An AMC account
• A manager account
• An AMC advertiser instance

 

Which of these is NOT a method of optimizing your AMC SQL?

• Optimizing the query’s order of operations
• Filtering records early in the query
• Adding redundant subqueries
• Optimizing JOIN conditions

 

Which AMC tables would be required for determining the Amazon-attributed conversion volumes per frequency bucket (including Amazon DSP traffic only)?

• dsp_impressions_by_user_segments, amazon_attributed_events_*
• dsp_impressions_by_matched_segments, amazon_attributed_events_*
• dsp_impressions, amazon_attributed_events_

 

Which of these use cases can be achieved when using Amazon Ads events in conjunction with first-party inputs?

• Attribution of on-Amazon conversion events to Amazon Ads media events
• Understanding top audience attributes of those exposed to Amazon DSP campaigns
• Attribution of offline conversion events to Amazon Ads media events
• Understanding the overlap of those exposed to Amazon DSP campaigns and those exposed to sponsored ads campaigns

 

Which of these exploratory queries would allow you to generate a list of all Amazon DSP creative active during your chosen time window?

• SELECT creative, creative_id, SUM(impressions) AS impressions FROM sponsored_ads_traffic GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM amazon_attributed_events_by_traffic_time GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2
• SELECT creative, creative_id, SUM(impressions) AS impressions FROM dsp_impressions WHERE creative IS LIVE GROUP BY 1,2

 

What are custom parameters?

• Synthetic signals that exist within an AMC sandbox instance, which mimic the structure and statistical properties of those records in an advertiser instance
• Parameters that can be invoked in your SQL query and replaced by specified values during query execution
• Credentials for the S3 bucket that you have connected to your AMC instance
• Custom models that you can use for AMC lookalike audience generation

 

Super Power Batteries, a consumer packaged goods brand, is new to AMC and wants to learn more about what tables are available to query. Where in the AMC UI can they find this information?

• Submitted queries
• Query editor
• Instance info
• Schema explorer

 

If you run multiple Amazon DSP and sponsored ads campaigns and reached similar audiences, which query can help you understand your customers’ conversion paths that have the highest conversion rate?

• Sponsored Products and DSP Display Overlap
• Path to Conversion by Campaign Groups
• Audience Overlap Analysis

 

AMC audiences is an API-only feature.

• False
• True

 

What formula would you use to calculate Amazon DSP CPM using the fields available in dsp_impressions?

• ((SUM(total_cost)/100000)/SUM(impressions))/1000 AS avg_cpm
• (SUM(total_cost)/100000)/(SUM(impressions))*1000 AS avg_cpm
• ((SUM(spend)/100000000)/SUM(impressions))*1000 AS avg_cpm

 

If you want to understand more about which product or pixel your conversion events are associated with, which field in the amazon_attributed_events_* tables should you leverage?

• ad_product_type
• conversion
• tracked_item
• tracked_asin

 

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

 

Where can you activate AMC audiences?

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

 

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

• conversions_with_relevance
• amazon_attributed_events_*
• dsp_impressions_by_user_segments
• sponsored_ads_traffic

 

Which of these analyses can be accomplished with an overlap query?

• Generating delivery metrics per Amazon audience
• Determining how a first-party uploaded audience compares to Amazon audiences
• Generating delivery metrics per campaign and per line item

 

The _________ field contains the pseudonymous ad identifier associated with a given impression. It is often used in calculations to understand unique reach volumes.

• request_tag
• purchases
• halo_code
• user_id

 

Performance reporting, such as Path to Conversion reporting, can be constrained to specific conversion events (e.g. purchases of a specific ASIN).

• False
• True

 

The _________________ panel within AMC is a repository of Amazon-authored SQL templates and includes associated use cases, instructions, and a guide to interpret the results.

• Schema explorer
• Query editor
• Paid features
• Instructional queries

 

Why should you wait until 14 days after the end date of your query date range to run analyses that leverage the amazon_attributed_events_by_traffic_time table?

• All impression and conversion events in AMC have a 14-day lag from event occurrence to event present in AMC table.
• There is no need to wait 14 days after the end date of your query date range; waiting will have no impact on the query results.
• Amazon’s attribution logic leverages a 14-day window; queries run before the 14-day attribution window passes will be missing relevant conversion events

 

Nutrition Co., a health snack company, would like to know the total impressions that have been delivered per campaign, per supply_source, per device_type. Which of the following represents how to write this query?

• SELECT total_impressions SUM(impressions) AS device_type FROM campaign, supply_source GROUP BY 1,2,3
• SELECT campaign, supply_source, SUM(impressions) AS impressions FROM device_type GROUP BY 1,2
• SELECT campaign, supply_source, device_type, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2,3

 

Columns in the HIGH and VERY_HIGH aggregation threshold categories cannot be used when applying ____________ to your query.

• WHERE filters with literal (static) values
• aggregation functions such as SUM or AVG
• first-party insights
• UNION or JOIN functions

 

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

• The volume of records is larger than what an advertiser instance typically contains, allowing you to more quickly test your queries
• The volume of records is smaller 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 AMC sandbox supports a wider variety of SQL expressions

 

Which of these statements is true regarding recurring query automation?

• AMC queries executed via UI or API will automatically recur on a daily cadence
• Results of scheduled queries are only available for download via AMC UI
• Once recurring queries are set up, modifications to the query schedule can be made in the Instance info panel of the AMC UI
• Delivery of recurring AMC queries can be automated via API only

 

This UI component is considered the day-to-day operating room for the analytics practitioner and is used to author and execute SQL queries, as well as download the results.

• Instance info
• Instructional query library (IQL)
• Query editor
• Paid features (beta)

 

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

• True
• False

 

What is SQL optimization in the context of AMC?

• The process of optimizing your first-party schema to perform more efficiently when being queried within AMC
• The process of sampling AMC tables for directional results rather than querying the full tables for accurate and complete reports
• The process of using AMC custom parameters to make a query run more efficiently
• The process of improving the performance of a query by adjusting query elements to reduce execution time and resource usage while still producing accurate results.

 

Cost and fee fields are always reported in microcents.

• False
• True

 

Which table would you leverage for a query when your objective is to understand how your current audience strategy is performing for your campaigns?

• conversions_with_relevance
• dsp_impressions_by_matched_segments
• amazon_attributed_events_by_conversion_time

 

What is an AMC sandbox?

• A gen-AI powered tool that walks you through how to run your first AMC query
• An instance in which you can explore, develop, test and innovate in AMC using synthetic records
• An AMC environment where you can be a beta-tester for new API and UI features

 

Which of the following statements is true about using queries within the instructional query library?

• Queries can be uploaded by AMC users and saved for future use
• Query templates can be edited to include relevant dimensions and metrics for your use case
• Instructional query templates cannot be modified ahead of running

 

Why are developer resources required for creating first-party tables in AMC?

• Developer resources are not required for creating first-party tables in AMC
• Because first-party table creation is an API-only feature
• Because you must build a custom architecture for automating table creation

 

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_audiences
• amazon_audiences
• dsp_impressions_by_matched_segments
• dsp_impressions_by_user_segments

 

Within the amazon_attributed_events_* tables, Amazon Ads will only attribute conversion events to click events for sponsored ads CPC (cost-per-click) campaigns.

• False
• True

 

Paid features tables are only available in advertiser instances.

• True
• False

 

In AMC, a conversion is defined as an Amazon.com purchase event.

• True
• False

 

AMC audience creation leverages a separate set of tables than those utilized for AMC reporting.

• True
• False

 

What types of Sponsored Products records will have spend metrics?

• Records representing Sponsored Product click events
• Records representing Sponsored Product impression events
• Records representing Sponsored Product view events
• Records representing audience membership insights for Sponsored Product impression events

 

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

• Amazon IAM
• Amazon QuickSight
• Amazon S3

 

What are the two ways to access AMC?

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

 

How would you adapt this query to obtain cost and impression metrics by supply_source? SELECT device_type, operating_system, SUM(total_cost)/100000 AS total_cost_dollars, ((SUM(total_cost)/100000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2

• SELECT supply_source, SUM(total_cost)/100000000 AS total_cost_dollars, ((SUM(total_cost)/100000000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_inventory GROUP BY 1
• SELECT supply_source, SUM(total_cost)/100000 AS total_cost_dollars, ((SUM(total_cost)/100000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2
• SELECT supply_source, SUM(total_cost)/100000 AS total_cost_dollars, ((SUM(total_cost)/100000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1

 

Why is this query unsuitable for assembling a rule-based audience of those who have completed a conversion event? SELECT user_id FROM conversions

• The query cannot include user_id as a dimension within the final SELECT statement
• The query requires a WHERE clause to specify the relevant conversion event type(s)
• The query requires a GROUP BY statement
• The query does not leverage an audience-specific table

 

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

• False
• True

 

Conversions measured via Events Manager can be made available for querying in AMC.

• False
• True

 

AMC can be used by brands that don’t sell their products directly in the Amazon store.

• True
• False

 

The submitted queries table provides details of the query executed and a link to download your aggregated report as a _______ when it’s ready.

• CSV file
• ZIP file
• PDF file
• LOG file

 

Overlap analyses enable you to generate insights by comparing different groups of __________ values in isolation and when overlapped.

• request_tag
• purchases
• impression_id
• user_id

 

How can you determine if NULL values are the result of aggregation thresholds or a natural occurrence within your report?

• Check the aggregation thresholds for the event tables in the Schema explorer
• Use the Append aggregation threshold columns option in the Query editor
• NULL values don’t occur naturally within reports unless the query is invalid.
• Run the report multiple times and look for a variance in the results

 

When analyzing the relationship between frequency and purchase rate, what actionable insight can you leverage for campaign optimization?

• Setting the frequency cap to maximize reach
• Setting the frequency cap to maximize purchase rate while limiting waste or over delivery
• Removing the frequency cap because more impressions always leads to more conversions

 

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

• False
• True

 

Which of these statements is false regarding AMC audiences?

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

 

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

• False
• True

 

Which of the following business questions can be answered with an overlap analysis?

• What was the average impressions per day per campaign per unique user_id value?
• What is the impact of your Sponsored Products campaigns and Amazon DSP campaigns in isolation or in combination?
• What are the top performing geographic regions for your campaign based on purchase rates?

 

To minimize the number of values rendered NULL due to aggregation thresholds, you can:

• Reduce the time window of the query
• Use more granular dimensions in your final GROUP BY statement
• Broaden any filtering that may be in place on the query
• Look at certain dimensions in combination rather than in isolation

 

What is one limitation of AMC SQL?

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

 

The _____________ field in the conversions_with_relevance table categorizes the relationship between the conversion event and the campaign it is relevant to.

• request_tag
• purchases
• conversions
• engagement_scope

 

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 find a searchable list of AMC tables and fields available to query, including Amazon Ads events and tables uploaded by Iris
• To ensure minimum aggregation thresholds are met on all queries
• To save time and reduce errors when compared to writing custom SQL queries from scratch

 

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

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

 

You can use a _________ filter to limit your query results based on one or more conditions.

• FROM
• WHERE
• SELECT

 

AMC users have access to all AMC instances in an account by default.

• True
• False

 

===

 

1. Why are developer resources required for creating first-party tables in AMC?
2. For sponsored ads Cost-per-Click (CPC) campaigns, only click events are eligible for attribution of conversion events.
3. 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?
4. There is not a field for campaign ID in the sponsored_ads_traffic table, so the _____________ field can be used to filter to traffic events from the relevant sponsored ads campaigns.
5. If you run multiple Amazon DSP and sponsored ads campaigns and reached similar audiences, which query can help you understand your customers’ conversion paths that have the highest conversion rate?
6. Super Power Batteries, a consumer packaged goods brand, is new to AMC and wants to learn more about what tables are available to query. Where in the AMC UI can they find this information?
7. How can you determine if NULL values are the result of aggregation thresholds or a natural occurrence within your report?
8. In AMC, a conversion is defined as an Amazon.com purchase event.
9. Which value is not available for Sponsored Products?
10. Which AWS service can be leveraged by the AWS Admin to provide appropriate permissions and access keys to AMC API users?
11. What types of Sponsored Products records will have spend metrics?
12. Why is it considered a good best practice to exclude NULL user_id values from reach and frequency queries?
13. Which of the following Amazon services can be used to visualize aggregated AMC reports in a dashboard?
14. Which two functions can be used together to filter records based on presence of a string within a column’s values?
15. user_id values cannot be viewed in the AMC user interface or downloaded from AMC.
16. Which table would you leverage for a query when your objective is to understand how your current audience strategy is performing for your campaigns?
17. Which AMC tables would be required for determining the Amazon-attributed conversion volumes per frequency bucket (including Amazon DSP traffic only)?
18. Which of the following business questions can be answered with an overlap analysis?
19. Why should you wait until 14 days after the end date of your query date range to run analyses that leverage the amazon_attributed_events_by_traffic_time table?
20. How would you adapt this query to limit results to Sponsored Products keyword targeting only?
21. Which table should you use in a query meant to help you choose new Amazon audiences that may benefit your Amazon DSP campaign performance?
22. The LIKE function is unsupported by AMC. Which of the following AMC-supported functions can serve as a substitute?
23. The _________ field contains the pseudonymous ad identifier associated with a given impression. It is often used in calculations to understand unique reach volumes.
24. Overlap analyses enable you to generate insights by comparing different groups of __________ values in isolation and when overlapped.
25. Which of these queries will only include purchase records from the underlying table?
26. AMC can be used by brands that don’t sell their products directly in the Amazon store.
27. The _________________ panel within AMC is a repository of Amazon-authored SQL templates and includes associated use cases, instructions, and a guide to interpret the results.
28. New-to-brand metrics are only relevant for __________.
29. AMC users have access to all AMC instances in an account by default.
30. 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.
31. Which event table can be used when attributing conversions to your campaign using custom logic (e.g., 28 day lookback window)?
32. Which of the following statements is true about using queries within the instructional query library?
33. What formula would you use to calculate Amazon DSP CPM using the fields available in dsp_impressions?
34. Why is this query unsuitable for assembling a rule-based audience of those who have completed a conversion event? SELECT user_id FROM conversions
35. The __________ field functions as a grouping indicator for the impression and any associated clicks, view events, or conversion events.
36. Which signals are not available within AMC?
37. Columns in the HIGH and VERY_HIGH aggregation threshold categories cannot be used when applying ____________ to your query.
38. You must connect your organization’s AWS account to AMC in order to leverage the AMC APIs.
39. What are the two ways to access AMC?
40. You can use a _________ filter to limit your query results based on one or more conditions.
41. What is a primary usage of the UNION ALL function in AMC queries?
42. Rule-based audience creation leverages a separate set of tables than those utilized for AMC reporting.
43. When determining total impressions served over a given date range, you can use dsp_impressions or dsp_views.
44. What is one limitation of AMC SQL?
45. AMC supports most common SQL functions, but there are some unsupported SQL functions.
46. Which of these use cases can be achieved when using Amazon Ads events in conjunction with first-party inputs?
47. To minimize the number of values rendered NULL due to aggregation thresholds, you can:
48. Where can you activate AMC rule-based audiences?
49. Which of these statements is true regarding recurring query automation?
50. Nutrition Co., a health snack company, would like to know the total impressions that have been delivered per campaign, per supply_source, per device_type. Which of the following represents how to write this query?
51. How would you adapt this query to obtain cost and impression metrics by supply_source?
52. Why would this query fail?
53. The Path to Conversion by Campaign Groups IQ considers all touch points but the output is based on the timing of the first impression of the campaign group.
54. What is an exploratory query?
55. What is the max window over which AMC can accrue Amazon Ads events?
56. There is no universal methodology or join key that can be used to combine tables in all query scenarios.
57. The submitted queries table provides details of the query executed and a link to download your aggregated report as a _______ when it’s ready.
58. The _____________ field in the conversions_with_relevance table categorizes the relationship between the conversion event and the campaign it is relevant to.
59. Clicks are considered conversion events and appear as individual records within the amazon_attributed_events_* tables.
60. What is the Amazon Ads attribution lookback window?
61. Which of these exploratory queries would allow you to generate a list of all Amazon DSP creative active during your chosen time window?
62. Which of these statements is false regarding rule-based audiences?
63. What is required to access AMC APIs?
64. When analyzing the relationship between frequency and purchase rate, what actionable insight can you leverage for campaign optimization?
65. A single on-Amazon transaction that includes multiple ASINs from your brand will be represented by a single conversion event within each of the amazon_attributed_events_* tables.
66. 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.
67. This table contains impression and click events from Sponsored Products (SP), Sponsored Brands (SB), and Sponsored Display (SD) campaigns.
68. If you want to understand more about which product or pixel your conversion events are associated with, which field in the amazon_attributed_events_* tables should you leverage?
69. Cost and fee fields are always reported in microcents.
70. Which of the following statements about paid features (beta) is false?
71. Which of these statements is false regarding the amazon_attributed_events_by_conversion_time table?
72. Which of the following statements about the amazon_attributed_events_* tables is true.
73. Where can you find the details of the entities (Amazon DSP, sponsored ads, etc.) linked to an AMC Instance?
74. Performance reporting, such as Path to Conversion reporting, can be constrained to specific conversion events (e.g. purchases of a specific ASIN).
75. Since the amazon_attributed_events_* tables contain ad-attributed conversions across all of your Amazon Ads media, you can aggregate them by sponsored ads vs. Amazon DSP using the __________.
76. How would you adapt this query to obtain cost and impression metrics by supply_source? SELECT device_type, operating_system, SUM(total_cost)/100000 AS total_cost_dollars, ((SUM(total_cost)/100000)/SUM(impressions))*1000 AS avg_cpm, SUM(impressions) AS impressions FROM dsp_impressions GROUP BY 1,2
77. Within the amazon_attributed_events_* tables, Amazon Ads will only attribute conversion events to click events for sponsored ads CPC (cost-per-click) campaigns.

 

 

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