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NEW QUESTION 53
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 54
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
- A. In Explorer, go to the Fields menu and then customize the number format of the measure.
- B. Use the XMD node in the dataflow to customize the number format of the field.
- C. Customize the number format in the number widget properties of the dashboard.
- D. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
Answer: D
NEW QUESTION 55
After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers
- A. If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)
- B. If no layouts are eligible for the mobile device, an error message will be displayed.
- C. If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)
- D. A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.
- E. There are widgets that cannot be displayed on mobile layouts.
Answer: A,C,D
Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_dashboard_designer_basics/wave_take_analytics_on_the_go
NEW QUESTION 56
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an “activitylD” dimension and a “userlD” dimension Dataset B: contains a list of users with a “userlD” dimension The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?
- A. Use an external ETL tool to extract both datasets and delete records.
- B. Use a combination of dataflow transformations: “augment” and “filter.”
- C. Use the dataflow transformation “delete” and set “userlD” as the deletion ID.
Answer: B
Explanation:
D, Use the recipe operation “delete” and set “userlD” as the deletion ID.
NEW QUESTION 57
What are the two types of bindings? Choose 2:
- A. Results binding
- B. Description bindings
- C. Data bindings
- D. Selections bindings
Answer: A,D
NEW QUESTION 58
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