TABLEAU-CRM-AND-EINSTEIN-DISCOVERY-CONSULTANT Online Practice Questions and Answers

Max number of dataflow definitions (with data sync enabled)

A. 35

B. 55

C. 25

D. 15

What happens if the ui.json file is empty?

A. You create a text-only version of an app.

B. The templatewill not include a configuration wizard.

C. The dataflow fails.

D. The app includes all possible dashboards by default.

E. B and D

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 todetermine, 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. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.

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. In Explorer, go to the Fields menu and then customize the number format of the measure.

A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter showsnumbers instead of names.

How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

A. flatten

B. compute Relative

C. compute Expression

D. append

In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false shouldresult in the display of the word "No" in red.

In which two ways can this be accomplished? Choose 2 answers

A. Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.

B. In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.

C. Create an XMD node in the dataflow to change the label and color of the values in the fields.

D. In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.

The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.

The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.

Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

A. Update

B. Append

C. Overwrite

D. Upsert

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarchy'

A. digest transformation

B. flatten transformation

C. delta transformation

D. sfdcDigest transformation

A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.

Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robustmodel?

A. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

B. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

C. Go back to the datapreparation and reduce the number of fields to less than 30 in order to produce a story.

D. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors thatwere omitted in the first run and assess their impact.