Free Practice Questions for Adobe AD0-E208 Exam

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

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 best way to display the daily trend of Orders and their performance against the daily average for the last month is to use a Line Visualization to trend the Orders and the daily average as a Calculated Metric in the same chart. A Calculated Metric can be created by using the Average function on Orders and applying a date range of last month. A Line Visualization can show both metrics as lines on the same chart, allowing for easy comparison.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/calculated-metrics/calculated-metrics-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/calculated-metrics/calculated-metrics-overview.html?lang=en#creating-a-calculated-metric https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/line-visualization.html?lang=en

The column options that an analyst can choose to manage data feeds are Report Suite, Destination Type, Destination Host and Interval. These columns show information about each data feed configuration, such as which report suite it belongs to, what type of destination it uses (FTP or SFTP), what host name it connects to, and what interval it runs on (hourly or daily). Feed Name, Data Columns, Data Dimensions, Start Date and End Date are not column options for managing data feeds.

References: https://experienceleague.adobe.com/docs/analytics/export/data-feeds/data-feeds-ui.html?lang=en https://experienceleague.adobe.com/docs/analytics/export/data-feeds/data-feeds-ui.html?lang=en#manage-data-feeds

The reason why the report shows a significant number of visits with a Model Name of “Unspecified” is that the visits began on a page where eVar3 was not set. Since eVar3 is set to expire after visit and has an allocation of most recent (last), it means that it will capture and persist the last value that was set for that variable in a visit. If eVar3 was not set on any page during a visit, it will show up as “Unspecified” in the report. eVar3 being never set due to a tagging error in the page code or having too many unique values are not likely causes of this issue.

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/conversion-variables/conversion-var-overview.html?lang=en#expiration

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 dark gray triangle in a report indicates that a data anomaly has been detected for that data point. It means that the value is significantly different from the expected range based on historical data and seasonality.

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

A valid use of a segment as a touchpoint in a Fallout Visualization is to use a visit-based segment as a touchpoint inside a visit-context Fallout Visualization. This means that the segment will apply to the entire visit and the fallout will show the conversion within the same visit. Using a visitor-based segment as a touchpoint inside a visit-context Fallout Visualization or using a visit-based segment as a touchpoint inside a visitor-context Fallout Visualization are not valid uses, as they will cause mismatched scopes and inaccurate results.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/fallout.html?lang=en#segment-touchpoints https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/fallout.html?lang=en#fallout-visualization-scopes

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