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Adobe Analytics Business Practitioner Expert Sample Questions (Q40-Q45):

NEW QUESTION # 40
Which option would an analyst choose to show the percentage change between the two numbers in a visualization?

  • A. Use the Summary Number visualization, click the Visualization settings, and select Percentages
  • B. Use the Summary Change visualization from a Freeform Table, click the Visualization settings, and O select Show Raw Difference
  • C. Use the Summary Change visualization, click the Visualization settings, and select Show Percent ,#l Change

Answer: C

Explanation:
Explanation
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.h


NEW QUESTION # 41
Several end users have complained that Analysis Workspace is too cluttered with infrequently used variables.
How would the Report Suite Admin Console be used to improve their user experience?

  • A. Suggest the team use Customize Menus
  • B. Suggest the team use Data Warehouse
  • C. Suggest the team use Data Feeds

Answer: A

Explanation:
Explanation
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#


NEW QUESTION # 42
A user needs to share an important segment with a group of users in a Product Profile Group. Why can't a member of his Product Profile Group view the segment?

  • A. The user only selected "Make this segment public-.
  • B. The user forgot to select "Make this segment public".
  • C. The user forgot to curate the Segment.

Answer: B

Explanation:
Explanation
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


NEW QUESTION # 43
Refer to the exhibit.
AD0-E208-3596845fa3f9dabc5a3a914889a12ffc.jpg
The date range is applied at the panel level, and a different date range is applied on top of the "Orders'' metric.
Which values are displayed in the table?

  • A. Only product orders that have been purchased both two months ago and last week
  • B. Product orders recorded two months ago
  • C. Product orders recorded last week

Answer: A

Explanation:
Explanation
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-in


NEW QUESTION # 44
Refer to the exhibit:
AD0-E208-2d5305e225c4193ae97ab4817151c0dc.jpg
What is a valid interpretation of this Segment Comparison between Purchasers and Non-Purchasers segments?

  • A. Purchasers are 81 % more likely to complete a Video View than Non-Purchasers.
  • B. On average, Purchasers view 81 % more videos than Non-Purchasers.
  • C. Video Views/Visitors is the most statistically significant difference between the two segments.

Answer: B

Explanation:
Explanation
A valid interpretation of this Segment Comparison between Purchasers and Non-Purchasers segments is that on average, Purchasers view 81 % more videos than Non-Purchasers. This means that the average Video Views per Visitor for Purchasers is 81 % higher than that for Non-Purchasers. Video Views/Visitors is not the most statistically significant difference between the two segments, as it has a low confidence level of 68 %.
Purchasers are not 81 % more likely to complete a Video View than Non-Purchasers, as this would imply a probability or conversion rate, not an average.
References:
https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/components/segment-comparison
https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/components/segment-comparison


NEW QUESTION # 45
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