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

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A consultant wants to understand what the important predictors are in the story.
What are two places where this information can be found?
Choose 2 answers

A) In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.
B) In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.
C) In the Model Metrics section, where the top predictors are listed
D) In the Model Deployment Wizard while selecting the actionable fields

2. An Einstein Analytics consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal'CountyTax).
Which node should the consultant use in a Dataflow to calculate and insert SalesTax to the dataset?

A) computeExpression
B) append
C) computeRelative
D) augment

3. What are the two main parts of a lens/exploration?

A) Query
B) Dataset
C) Measure
D) Visualization
E) Grouping

4. A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?

A) Produce a graph of the data to analyze.
B) Identify data types and define the appropriate data as numeric.
C) Analyze data columns and decide which, if any, to drop.
D) Load the data into Einstein Analytics

5. Which dataflow transformation does data sync (replication) reference, in an existing dataflow, to determine which Salesforce objects and fields are currently being extracted?

A) sfdcDigest
B) edgemart
C) sfdcRegister
D) export

Solutions: