Amazon Marketing Cloud Certification Answers 2024
The courses below are designed to help you prepare for the Certification assessment. Completion of each course is not required for taking the assessment.
- Explore the AMC user interface
- Understand event tables and fields in AMC
- Understand AMC SQL
- Write queries within AM
- Build Amazon Ads-attributed performance reportin
- Perform advanced analyses in AM
- Explore advanced use cases with AM
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.
Please note, this role-based Certification was designed for analytics practitioners that can write SQL-based queries. Prior knowledge of SQL is recommended. If you are unsure of your SQL capabilities, you can complete this optional 15-question quiz to test your knowledge.
Certification Questions & Certification Answers
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.
AMC can be used by brands that don’t sell their products directly in the Amazon store.
AMC supports most common SQL functions, but there are some unsupported SQL functions.
AMC users have access to all AMC instances in an account by default.
Clicks are considered conversion events and appear as individual records within the amazon_attributed_events_* tables.
Columns in the HIGH and VERY_HIGH aggregation threshold categories cannot be used when applying ____________ to your query.
- WHERE filters
- JOIN functions
- first-party insights
- third-party insights
Cost and fee fields are always reported in microcents.
For sponsored ads Cost-per-Click (CPC) campaigns, only click events are eligible for attribution of conversion events.
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
- Run the report multiple times and look for a variance in the results
- Use the Append aggregation threshold columns option in the Query editor
- NULL values don’t occur naturally within reports unless the query is invalid.
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 FROM statement to: FROM sponsored_products
- Adjust WHERE statement to: WHERE match_type IN(‘PHRASE’, ‘BROAD’, ‘EXACT’) AND ad_product_type = ‘sponsored_products’
- Add LIMIT clause: LIMIT sponsored_products
- Adjust SELECT statement to include the sponsored_products field
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
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
- Audience Overlap Analysis
- Path to Conversion by Campaign Groups
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?
In AMC, a conversion is defined as an Amazon.com purchase event.
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?
- 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
- Iris should not consider using the instructional query library as it does not apply to advertiser uploaded inputs
- To save time and reduce errors when compared to writing custom SQL queries from scratch
New-to-brand metrics are only relevant for __________.
- purchase events
- detail page view events
- pixel events
- add to cart 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
Overlap analyses enable you to generate insights by comparing different groups of __________ values in isolation and when overlapped.
Performance reporting, such as Path to Conversion reporting, can be constrained to specific conversion events (e.g. purchases of a specific ASIN).
Rule-based audience creation leverages a separate set of tables than those utilized for AMC reporting.
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
- supply_source field
- ad_product_type field
- traffic_event_type field
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?
- Query editor
- Schema explorer
- Instance info
- Submitted queries
The LIKE function is unsupported by AMC. Which of the following AMC-supported functions can serve as a substitute?
- SIMILAR TO
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.
The _________ field contains the pseudonymous ad identifier associated with a given impression. It is often used in calculations to understand unique reach volumes.
The __________ field functions as a grouping indicator for the impression and any associated clicks, view events, or conversion events.
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.
The _____________ field in the conversions_with_relevance table categorizes the relationship between the conversion event and the campaign it is relevant to.
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.
- Instructional queries
- Paid features
- Query editor
- Schema explorer
The submitted queries table provides details of the query executed and a link to download your aggregated report as a _______ when it’s ready.
- ZIP file
- PDF file
- CSV file
- LOG file
There is no universal methodology or join key that can be used to combine tables in all query scenarios.
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.
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.
- Instructional queries
- Paid features
- Instance info
- Query editor
This table contains impression and click events from Sponsored Products (SP), Sponsored Brands (SB), and Sponsored Display (SD) campaigns.
To minimize the number of values rendered NULL due to aggregation thresholds, you can:
- Broaden any filtering that may be in place on the query
- Look at certain dimensions in combination rather than in isolation
- Reduce the time window of the query
- Use more granular dimensions in your final GROUP BY statement
What are the two ways to access AMC?
- Through the APIs or CLI
- Through the UI or the APIs
- Through the APIs or AWS
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(spend)/100000000)/SUM(impressions))*1000 AS avg_cpm
- ((SUM(total_cost)/100000)/SUM(impressions))/1000 AS avg_cpm
What is a primary usage of the UNION ALL function in AMC queries?
- To group records based on a specified field
- To unify events from different tables
- To summarize key fields in event tables
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 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
- A query that tests whether a specific audience segment or segments may prove valuable for your campaign’s key performance indicators (KPIs)
What is one limitation of AMC SQL?
- It cannot filter query results based on date range
- Some common SQL functions are not currently supported
- It cannot join tables from different databases
What is required to access AMC APIs?
- Installing a plugin in your browser
- Connecting your organization’s AWS account to AMC
- Requesting access from Amazon customer service
What is the Amazon Ads attribution lookback window?
What is the max window over which AMC can accrue Amazon Ads events?
- AMC will accrue and retain up to 90 days of events
- AMC will accrue and retain up to 12.5 months of events
- AMC will accrue and retain up to 1 month of events
- AMC will accrue and retain events in perpetuity
What types of Sponsored Products records will have spend metrics?
- Records representing audience membership insights for Sponsored Product impression events
- Records representing Sponsored Product click events
- Records representing Sponsored Product impression events
- Records representing Sponsored Product view events
When analyzing the relationship between frequency and purchase rate, what actionable insight can you leverage for campaign optimization?
- Removing the frequency cap because more impressions always leads to more conversions
- Setting the frequency cap to maximize reach
- Setting the frequency cap to maximize purchase rate while limiting waste or over delivery
When determining total impressions served over a given date range, you can use dsp_impressions or dsp_views.
Where can you activate AMC rule-based audiences?
- Amazon DSP
- Amazon Ad Server
- Seller Central
Where can you find the details of the entities (Amazon DSP, sponsored ads, etc.) linked to an AMC Instance?
- Support center
- Instructional queries panel
- Documentation panel
- Instance info panel
Which AMC tables would be required for determining the Amazon-attributed conversion volumes per frequency bucket (including Amazon DSP traffic only)?
- dsp_impressions, amazon_attributed_events_*
- dsp_impressions_by_matched_segments, amazon_attributed_events_*
- dsp_impressions_by_user_segments, amazon_attributed_events_*
Which AWS service can be leveraged by the AWS Admin to provide appropriate permissions and access keys to AMC API users?
Which event table can be used when attributing conversions to your campaign using custom logic (e.g., 28 day lookback window)?
Which of the following Amazon services can be used to visualize aggregated AMC reports in a dashboard?
- Amazon QuickSight
- Amazon S3
- Amazon IAM
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 are the top performing geographic regions for your campaign based on purchase rates?
- What is the impact of your Sponsored Products campaigns and Amazon DSP campaigns in isolation or in combination?
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 allow advertisers to upload their own first-party insights to better understand the shopping journey
- Paid features provide access to subscription-based tables that can be used in conjunction with the standard tables available in AMC
Which of the following statements about the amazon_attributed_events_* tables is true.
- 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
- Amazon Ads attribution logic allows a conversion to be attributed to multiple traffic events
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
- Instructional query templates cannot be modified ahead of running
- Query templates can be edited to include relevant dimensions and metrics for your use case
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 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
- SELECT creative, creative_id, SUM(impressions) AS impressions FROM amazon_attributed_events_by_traffic_time GROUP BY 1,2
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 amazon_attributed_events_by_traffic_time GROUP BY 1
- 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
Which of these statements is false regarding rule-based audiences?
- 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
Which of these statements is false regarding the amazon_attributed_events_by_conversion_time table?
- The impressions column should not be leveraged to calculate total impressions served in the query timeframe
- The time window used for your query will apply to the time of the conversion event
- Conversions included within this table have occurred within 14 days of a traffic event
- The conversions field will always contain a value of either 1 or 0
Which of these statements is true regarding recurring query automation?
- AMC queries executed via UI or API will automatically recur on a daily cadence
- Delivery of recurring AMC queries can be automated via API only
- Once recurring queries are set up, modifications to the query schedule can be made in the Instance info panel of the AMC UI
- You can download the results of automatically-recurring queries from the Submitted queries table in the AMC UI
Which of these use cases can be achieved when using Amazon Ads events in conjunction with first-party inputs?
- Understanding top audience attributes of those exposed to Amazon DSP campaigns
- Attribution of on-Amazon conversion events to Amazon Ads media events
- Understanding the overlap of those exposed to Amazon DSP campaigns and those exposed to sponsored ads campaigns
- Attribution of offline conversion events to Amazon Ads media events
Which signals are not available within AMC?
- Ad-relevant conversions with a 28-day lookback window
- Ad-relevant conversions with a 60-day lookback window
- Ad-attributed conversions with a 14-day lookback window
Which table should you use in a query meant to help you choose new Amazon audiences that may benefit your Amazon DSP campaign performance?
Which table would you leverage for a query when your objective is to understand how your current audience strategy is performing for your campaigns?
Which two functions can be used together to filter records based on presence of a string within a column’s values?
- WHERE, COLLECT
- WHERE, CONCAT
- WHERE, SIMILAR TO
- WHERE, LIKE
Which value is not available for Sponsored Products?
Why are developer resources 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
- Developer resources are not required for creating first-party tables in AMC
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.
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 requires a WHERE clause to specify the relevant conversion event type(s)
- The query cannot include user_id as a dimension within the final SELECT statement
- The query does not leverage an audience-specific table
- The query requires a GROUP BY statement
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?
- Amazon’s attribution logic leverages a 14-day window; queries run before the 14-day attribution window passes will be missing relevant conversion events.
- 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.
Why would this query fail?
SUM(impressions) AS impressions
- SELECT statements can not be used to choose metrics from a table.
- There is no WHERE clause to filter the query results based on one or more conditions.
- There is no GROUP BY statement; this query cannot be run without aggregation on the campaign dimension.
You can use a _________ filter to limit your query results based on one or more conditions.
You must connect your organization’s AWS account to AMC in order to leverage the AMC APIs.
user_id values cannot be viewed in the AMC user interface or downloaded from AMC.
This page was last edited on 3rd February, 2024 at 4:38 PM (UTC).
I hope this helps! Let me know if you have any other questions.