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| Vendor: | Adobe |
|---|---|
| Exam Code: | AD0-E208 |
| Exam Name: | Adobe Analytics Business Practitioner Expert |
| Exam Questions: | 50 |
| Last Updated: | November 20, 2025 |
| Related Certifications: | Adobe Analytics |
| Exam Tags: |
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The Solution Design Reference (SDR) document states that the expiration setting for eVarl 1 is "never" and the allocation is Most Recent (Last).
What happens to the persisted value when there is a new value collected for eVar11?
Since eVar11 has the allocation setting of Most Recent (Last), it means that it will always capture the last value that was set for that variable in a visit. Therefore, if there is a new value collected for eVar11, it will overwrite the old value that was previously persisted.
References: https://experienceleague.adobe.com/docs/analytics/components/variables/conversion-variables/conversion-var-overview.html?lang=en#allocation
A business owner is reviewing quarterly financial data and looks to complete projections for the upcoming quarter.
Which tool should be used to enable this analysis?
Adobe Experience Platform is a tool that enables data integration, analysis, and visualization across different sources and channels. It can help business owners to review historical data and create projections for the future.
References: https://experienceleague.adobe.com/docs/experience-platform/landing/home.html?lang=en
A key is matched to multiple rules and it sets the same classification column shown in the Set Classification column.
How can a user control the order?
If a key is matched to multiple rules and it sets the same classification column, the user can control the order by ranking the most important rule last in the rule set. This is because classification rules are applied from bottom to top, so the last rule that matches a key will overwrite any previous rules that also matched the same key. Ranking the most important rule first or using linear ranking will not work, as they will not ensure that the most important rule takes precedence over the others.
References: https://experienceleague.adobe.com/docs/analytics/components/classifications/classifications-ruleset.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/classifications/classifications-ruleset.html?lang=en#rule-order
The web analyst for a beauty products company wants to create a report to analyze the number of sample requests for one of their product pages.
The following items are available from the default configuration:
* prop3, which registers the product page name and is fired in the first page load
* eVar4, which registers the product page name and is fired in the first page load
* event1 2, which fires when a visitor clicks on "Request a sample'' call to action
How can the analyst accomplish the creation of this report?
The best way to create a report to analyze the number of sample requests for one of their product pages is to use eVar4 in combination with event12 as a metric. eVar4 registers the product page name and is fired in the first page load, so it will capture and persist the value for each visit. event12 fires when a visitor clicks on ''Request a sample'' call to action, so it will measure the number of sample requests. Using eVar4 as a dimension and event12 as a metric will show how many sample requests were made for each product page. Using prop3 instead of eVar4 will not work, as prop3 does not persist across hits or visits.
References: https://experienceleague.adobe.com/docs/analytics/components/variables/conversion-variables/conversion-var-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/variables/traffic-variables/traffic-var-overview.html?lang=en
A spike in traffic is observed for a specific day. Knowing that there are no campaigns running, the first hypothesis is that this is bot traffic.
Which Adobe Analytics tool may be used to identify the IP of the user that contributes to this spike in traffic without using a custom variable?
Data Warehouse is a tool that allows you to run custom queries on raw data and export the results to various formats. It can also provide the IP address of the user as a dimension, which can help identify bot traffic without using a custom variable.
References: https://experienceleague.adobe.com/docs/analytics/export/data-warehouse/data-warehouse.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/dimensions/ip-address.html?lang=en
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