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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.
Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers

A) Analytics REST API
B) Dataflow
C) Microsoft Azure SQL Data Warehouse Connector
D) Einstein Analytics Connector for Excel
E) Recipes

2. Max number of dataflow definitions (with data sync enabled)

A) 35
B) 55
C) 25
D) 15

3. A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'

A) Create a configuration wizard for the app.
B) Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
C) Ensure the Sales team has the necessary permissions to customize their apps.
D) Update contents in the Sales Operations app and create new template versions of the app.

4. Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

A) Do nothing; they appear to be similar, but there might be differences from the business perspective.
B) Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.
C) Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
D) Cancel this story and redefine the dataset.

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

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

Solutions: