AD0-E208 Adobe Analytics Business Practitioner Expert Free Practice Exam Questions (2025 Updated)

In Analysis Workspace, segments and time are two types of components that can be used to filter the scope of the report to a specific section of the website. Segments are subsets of data based on certain criteria, such as page name, traffic source, device type, etc. Time is a component that allows you to specify a date range or granularity for your report. Dimensions and standard metrics are not components that can be used to filter the scope of the report, but rather to break down or measure the data.

References: https://experienceleague.adobe.com/docs/analytics/components/segments/segments-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/time/time-overview.html?lang=en

When changing the Fallout visualization from Eventual Path to Next Hit, the report shows only the conversions that happened in the immediate next hit after each step. If the report shows zero visitors across the report, it means that none of the visitors completed the fallout as a next step conversion.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/fallout.html?lang=en#next-hit-vs-eventual-path

When creating a calculated metric, the preview date range can be selected by using the “Preview Date” drop-down in the Calculated Metric Builder. This will allow you to see how your calculated metric performs for different periods of time, such as last week, last month, last quarter, etc.

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#previewing-a-calculated-metric

The best way to exclude visits where a page with the name “Shopping Checkout” was viewed is to use a visit-based segment with one exclude condition: Page equals “Shopping Checkout”. This will ensure that only the visits that did not include any hit where Page equals “Shopping Checkout” are included in the report. A hit-based segment with one exclude condition: Page equals “Shopping Checkout” will not work, as it will only exclude the hits where Page equals “Shopping Checkout”, but not the entire visits. A visit-based segment with one include condition: Page does not equal “Shopping Checkout” will not work either, as it will include any visit that had at least one hit where Page does not equal “Shopping Checkout”, even if it also had a hit where Page equals “Shopping Checkout”.

References: https://experienceleague.adobe.com/docs/analytics/components/segments/segment-tips.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/segments/segment-tips.html?lang=en#exclude-visits-with-a-specific-page

A Bullet Visualization is a tool that shows how a metric is performing against a target or goal. It can help monitor progress and identify gaps or opportunities. It can also show additional information, such as comparison periods or ranges.

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

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

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

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 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

A Virtual Report Suite is a subset of data from an existing report suite that is based on a segment. It allows business users to see only the data that is relevant to them without affecting the original report suite data. It does not provide the ability to customize variable settings or names per Virtual Report Suite, nor does it enable real-time reporting.

References: https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-faq.html?lang=en

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

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

A Flow Visualization is a tool that shows the path that users take through a website or app. It can help identify common or uncommon behaviors, drop-offs, loops, or exits. One benefit of using the correct configuration of Flow Visualization is that it enables the expansion of a column to show all nodes. By default, only the top five nodes are displayed in each column, but you can click on the expand icon to see more nodes.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/flow.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/flow.html?lang=en#expanding-a-column

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