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Free ANC301 Exam Braindumps (page: 7)

Page 6 of 30
PDF with 242 Questions

Universal Containers' CRM Analytics team is building a dashboard with two widgets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi- selection)
2. Donut chart widget associated to the query "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings/interactions so any selection in the List widget will filter the Donut chart. The queries use different datasets,
and users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding/interaction?

A)



B)



C)

  1. Option A
  2. Option B
  3. Option C

Answer(s): A

Explanation:

For the given requirement where a selection in a list widget needs to filter data displayed on a donut chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right syntax, as indicated in Option A, looks like this:
"{{column(Type_2.selection, [\"Type\"]).asObject()}}"
This syntax ensures:
Multi-selection: The column() function in combination with .asObject() ensures that multiple selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize to filter its content.
Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring accurate filtering.



The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?

  1. Create/Edit a lens and add each dashboard.
  2. Create/Edit the widgets individually on each dashboard.
  3. Create/Edit a component for the widgets.

Answer(s): C

Explanation:

To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:

Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards. Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.

Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.



At Universal Containers, a dashboard is built to track sales metrics. The Opportunity amount field has conditional formatting added -- it turns green for closed won and red for closed lost. How should a CRM Analytics consultant enhance the dashboard design to become more accessible to users with color vision challenges?

  1. Position Alt Texts next to the KPIs to make it more understandable.
  2. Add up and down arrow next to the KPIs to make it more understandable.
  3. Make the numbers bold to emphasize whether it is won or lost.

Answer(s): B

Explanation:

Enhancing accessibility, especially for users with color vision challenges, is critical. Adding up and down arrows next to the KPIs:
Visual Cues: Provides a non-color dependent method to indicate whether metrics are positive (up arrow) or negative (down arrow).
Accessibility: Improves understanding for users with color vision deficiencies, ensuring that the dashboard is inclusive.
User Experience: Enhances the overall usability of the dashboard by making the interpretation of data straightforward and less reliant on color.



A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a `Live' version is still being used by other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for?

  1. App
  2. Dataset
  3. goats

Answer(s): A

Explanation:

In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage. Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live. This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.






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