最新のTableau-CRM-Einstein-Discovery-Consultant問題集で試験を準備する

Salesforce Tableau-CRM-Einstein-Discovery-Consultant 試験概要:

Salesforce Tableau-CRM-Einstein-Discovery-Consultant 試験シラバストピック:

Salesforce Tableau CRM Einstein Discovery Consultant 認定 Tableau-CRM-Einstein-Discovery-Consultant 試験問題：

問題 #1

Why would you use a merge key in a dataset recipe?

A. To schedule when a dataset recipe runs
B. To deal with duplicate records
C. To find out what the merge icons represent in a dataset
D. To join related data from different sources

問題 #2

Why is it important to select the right root object when you use the dataset builder?

A. The root object determines what app the dataset is saved in.
B. Only data from the root object can be included in the dataset.
C. The root object determines who can see the dataset.
D. The root object determines what related objects you can add to the dataset.

問題 #3

Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.
Which two differences in the newly synced data can explain this? Choose 2 answers

A. Differences involving trigger-updated fields
B. Differences involving permanently deleted records
C. Differences involving formula fields
D. Differences involving workflow-updated fields

問題 #4

A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention.
What can an Einstein Consultant use to accomplish this task?

A. Chart Markers
B. Compare Table
C. Customize tooltip
D. XMD

問題 #5

A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

A. Change the method of binning to fixed width.
B. Remove the field because it has bad data
C. Remove the outlier rows.
D. Nothing, because the field is not the outcome variable.

解説：