File Info
| Exam | Certified Einstein Analytics and Discovery Consultant |
| Number | Certified-Einstein-Analytics-And-Discovery-Consultant |
| File Name | Salesforce.Certified-Einstein-Analytics-And-Discovery-Consultant.SelftestTraining.2020-03-18.30q.vcex |
| Size | 432 KB |
| Posted | Mar 18, 2020 |
| Download | Salesforce.Certified-Einstein-Analytics-And-Discovery-Consultant.SelftestTraining.2020-03-18.30q.vcex |
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Demo Questions
Question 1
Which chart type is suitable for rendering five measures in a lens visualization?
- Metric Radar chart
- Scatter chart
- Treemap chart
- Stacked Bar chart
Correct answer: D
Question 2
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to “augment” the dataflow.
Which phrase describes this transformation?
- Join data similar to an SQL statement
- Join data based on a many-to-many relationship
- Add data based on the right-side grain
- Add data as a lookup relationship (left side is the lowest grain)
Correct answer: D
Question 3
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?
- Customize the number format in the number widget properties of the dashboard
- Use the XMD node in the dataflow to customize the number format of the field
- Add a text widget to the dashboard to indicate Fahrenheit or Celsius
- In Explorer, go to the Fields menu and then customize the number format of the measure
Correct answer: C
Question 4
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?
- Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width
- Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device
- Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type
- Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.
Correct answer: D
Question 5
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an “activityID” dimension and a “userID” dimension
Dataset B: contains a list of users with a “userID” 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?
- Use an external ETL tool to extract both datasets and delete records
- Use a combination of dataflow transformations: “augment” and “filter”
- Use the recipe operation “delete” and set “userID” as the deletion ID
- Use the dataflow transformation “delete” and set “userID” as the deletion ID
Correct answer: B
Question 6
A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?
- Load the data into Einstein Analytics
- Analyze data columns and decide which, if any, to drop
- Identify data types and define the appropriate data as numeric
- Produce a graph of the data to analyze
Correct answer: C
Question 7
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? (Choose two.)
- Use selection binding in the filters section of the step “Step_pie_1”.
- Use selection binding in the filters section of the step “Region_1”.
- Enable the option “Apply filters from faceting” in the step “Region_1”.
- Enable the option “Apply filters from faceting” in the step “Step_pie_1”.
Correct answer: AD
Question 8
An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs? (Choose two.)
- Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
- Maximum number of dataflow definitions
- Maximum number of objects that can be enabled for data sync (replication)
- Maximum number of dataflow transformations
Correct answer: BC
Question 9
An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the tunnel shows stages in alphabetical order instead of sales cycle order.
In which two ways can a consultant help them address this issue? (Choose two.)
- Use a dashboard JSON to rename stages
- Use a dataflow to rename the stages with a preceding number
- Use a dataflow to sort the stages by their internal name
- Use a dataset XMD to rename stages
Correct answer: BD
Question 10
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story?
- Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
- No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
- Yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
- No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
Correct answer: B
