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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A story created has an AUC of .62.
What two things could be done to possible improve this AUC score?
Choose 2 answers

A) Change the order of the story insights to descending.
B) Segment the training set.
C) Run detect sentiment on the dataflow before creating the story.
D) Add more rows of relevant data.

2. What are the 3 basic actions within a query in Analytics? Choose 3:

A) Display the results graphically
B) Grouping by a dimesnsion
C) Filter to narrow down your results.
D) Count rows by measure you want to visualize.
E) Aggregate by a measure

3. The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?

A) Recipes Editor
B) Settings
C) Dataflow Editor
D) Step Editor

4. Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

A) Edit the model accuracy settings and rerun the story.
B) Proceed with deployment if the model quality metric values ire sufficient.
C) Rerun and update the story with a different algorithm.
D) Identify additional data that may have a stronger relationship with the outcome variable.

5. To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span.
With reference to the outcome variable, which action should the consultant take?

A) Select the option: Are you expecting a whole number greater than or equal to 0?
B) Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.
C) Select to minimize the outcome variable.
D) Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.

Solutions: