AD0-E208 Sample Questions Answers

The Fallout visualization can show a conversion percentage over 100% if the success event can be fired outside of the specified funnel order. For example, if a visitor completes a purchase before viewing a product, the purchase event will still be counted in the fallout even though it happened before the product view event.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/fallout.html?lang=en#over-100-percent-conversion

A Map Visualization can be built by representing geo segmentation data about visitor location on the DMA or Zip Code level, which are two dimensions that can be used in a map. Alternatively, a Map Visualization can be built by using one metric (including calculated metrics) that can be applied to any dimension that has geographic data associated with it, such as country or region.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/map.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/map.html?lang=en#map-visualization-requirements

Anomaly Detection is a feature that automatically detects statistical anomalies in your data based on a daily or weekly granularity. Therefore, it is only available in line visualizations by day or by week, not in ranked or trended freeform tables.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/line-visualization.html?lang=en#anomaly-detection https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/predictive-analytics/anomaly-detection.html?lang=en

The reason why none of the data is credited to the Display marketing channel in Adobe Analytics is that the Marketing Channel processing rule is using a different query string parameter. The tracking codes provided by the media agency use the parameter “cid”, but the processing rule is looking for the parameter “cmpid”. Therefore, the rule will not match any of the tracking codes and will not assign them to the Display channel.

References: https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en#marketing-channel-processing-rules

The Summary Change visualization shows the difference between two numbers in a report, such as current period vs previous period. To show the percentage changebetween the two numbers, you need to click the Visualization settings and select Show Percent Change.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/summary-change.html?lang=en

The values displayed in the table are only product orders that have been purchased both two months ago and last week. This is because when a date range is applied at both the panel level and the metric level, the resulting date range is the intersection of both date ranges. In this case, since the panel date range is two months ago and the metric date range is last week, only the data that falls within both date ranges will be shown.

References: https://experienceleague.adobe.com/docs/analytics/components/time/time-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/time/time-overview.html?lang=en#date-range-intersection

The reason why a member of his Product Profile Group cannot view the segment is that the user forgot to select “Make this segment public”. When a segment is created or edited, there is an option to make it public or private under the Share With section. If the segment is private, only the creator can use it. If the segment is public, it can be shared with all users, product profile groups, or individual users who have access to the same report suite. The user did not need to curate or duplicate the segment.

References: https://experienceleague.adobe.com/docs/analytics/components/segments/segment-sharing.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/segments/segment-sharing.html?lang=en#sharing-a-segment

The best way to improve the user experience of Analysis Workspace for end users who complain that it is too cluttered with infrequently used variables is to suggest the team use Customize Menus. Customize Menus is a feature that allows users to hide or show dimensions, metrics, segments, or date ranges in Analysis Workspace based on their preferences. This can help reduce clutter and improve efficiency. Suggesting the teamuse Data Feeds or Data Warehouse will not help with this issue, as they are different tools that are used for exporting or importing data.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/customize-menus.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/customize-menus.html?lang=en#customize-menus-overview

The data import tool that should be used for this task is Data Sources. Data Sources is a feature that allows you to upload offline data from external sources and match it with online data in Adobe Analytics. It can also support transaction ID as a key variable to join offline and online data.

References: https://experienceleague.adobe.com/docs/analytics/import/data-sources/data-sources-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/import/data-sources/data-sources-overview.html?lang=en#data-sources-types

The order in which these data components are processed is page code > VISTA Rules > Marketing Channel Rules > Processing Rules. This means that page code is processed first, then VISTA Rules are applied on top of page code data, then Marketing Channel Rules are applied on top of VISTA Rules data, and finally Processing Rules are applied on top of Marketing Channel Rules data.

References: https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en#data-processing-order https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en#data-processing-order

If a stakeholder wishes to build a Freeform Table in Analysis Workspace that consists of a list of specific pages on the company website and the number of visits to them, but they are not able to find a page dimension item for an existing page that they are looking for, the best option is to scroll down to the bottom of the page dimension list inthe left rail and select “Show Top Items From Last 6 Months”. This will refresh the page dimension list and show more items based on the last six months of data. Changing the workspace date range or using a custom date range in a Freeform Table will not affect the page dimension list in the left rail.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/build/freeform-tables.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/build/freeform-tables.html?lang=en#show-top-items-from-last-6-months

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