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

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

Question 1

An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?

A. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
B. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
C. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
D. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.

Question 2

Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?

A. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
B. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
C. An admin hasn't run a dataflow.
D. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.

Question 3

Which two recommended techniques can be used to access tableau CRM data from a remote app or website? Choose 2 answers

A. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query as a parameter.
B. Export the data to a CSV, copy it to a USB drive, and load it on the remote site.
C. Use an Iframe to embed the Salesforce page in a remote site.
D. Use Lightning out to embed a dashboard component in the remote site.

Question 4

What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

A. Third-order analysis
B. Object-oriented analysis
C. Second-order analysis
D. Spectrum analysis
E. First-order analysis

Question 5

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 robust model?

A. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
B. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
C. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
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 that were omitted in the first run and assess their impact.

Solutions: