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

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.
What is the appropriate action to take?

A) Replace nulls in the Churn Reason filed as 'No reason given'',
B) Exclude active customers (customer who have not churned) from the training dataset since their Churned) from the training dataset since their Churn Reason field are nulls.
C) For the Churn Reason field, enable the ''This variable contains sensitive data'' box because it may contain sensitive customer behavior.
D) Exclude the Churn reason field from the dataset.

2. 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) The root object determines who can see the dataset.
C) The root object determines what app the dataset is saved in.
D) Only data from the root object can be included in the dataset.

3. An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?

A) Scale down the number of datasets to help improve data sync (replication) performance.
B) Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
C) Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
D) Modify dataflows to exclude unused fields and include a filter to extract relevant data.

4. A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?

A) Chart and table steps must have their own list widgets.
B) The list, chart, and table steps must share the same dataset.
C) The list, chart, and table steps must share a common name.
D) The list, chart, and table steps must share common dimensions from different datasets.

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 of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.
C) Select to minimize the outcome variable.
D) Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.

Solutions: