Salesforce Tableau CRM and Einstein Discovery Consultant Certification Exam Sample Questions

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Salesforce Tableau CRM and Einstein Discovery Consultant Sample Questions:

01. In the Insights list, insights are ranked in what order?

a) Statistical significance

b) Time

c) Geospatial

d) Alphabetical

e) There is no order

02. 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 shows numbers instead of names. How can a Tableau CRM Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

a) flatten

b) append

c) computeRelative

d) computeExpression

03. Why is it important to prepare the data in a CSV file before you bring it into Analytics?

a) To make sure Analytics can set the field type correctly

b) To make sure the content is interesting

c) To add currency symbols to numeric fields

d) To remove column headers

04. What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?

a) Change a field's name

b) Change a field's format

c) Change a field's type

d) All of the above

05. How many concurrent stories per org are allowed?

a) 5

b) 4

c) 2

d) 1

06. What are the two types of bindings?

a) Results binding

b) Data bindings

c) Description bindings

d) Selections bindings

07. How do you analyze data from a CSV file using Einstein Discovery?

a) Import the CSV file into Einstein Discovery.

b) Import the CSV file into the most similar Salesforce object, then run reports on that object.

c) You can't import data from a CSV file

d) Import the CSV file into an Einstein Analytics dataset, then create a story.

08. When creating a story in Einstein Discovery, a client is wondering if all potential collinear fields need to be removed before executing the build story. What would accurately answer the client's question?

a) Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

b) 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 overfitting.

c) Yes. If all collinear variables are not excluded, the model will overfit and not make any sense.

d) No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

09. Benito has Viewer access to a new EinsteinAnalytics app. He wants to build and edit a dashboard using the Seed Bank dataset in this new app. What must an admin do for Benito to do this?

a) Grant Benito access to all datasets in the org.

b) Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.

c) Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.

d) Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.

10. Where can you view the status of a CSV upload in Analytics?

a) The data manager

b) The Analytics home page

c) The Create Dataset page

d) The Setup menu

Answers:

Question: 01 Answer: a	Question: 02 Answer: c	Question: 03 Answer: a	Question: 04 Answer: d	Question: 05 Answer: c
Question: 06 Answer: a, d	Question: 07 Answer: d	Question: 08 Answer: b	Question: 09 Answer: c	Question: 10 Answer: a

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Salesforce Tableau CRM and Einstein Discovery Consultant Certification Exam Sample Questions

Salesforce Tableau CRM and Einstein Discovery Consultant Sample Questions:

Answers:

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