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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers

A) Balance: make sure they have a balance of different charts to get a more interesting design.
B) Clarity: make sure they are uncluttered and easy to interpret.
C) Emphasis: make sure they have space for important information, such as headlines and key charts.
D) Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.

2. The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

A) Sales Cloud data Login
B) Forensics data
C) Event log file data
D) Field audit trail data

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

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

4. What can changing an answer to a wizard question do?

A) Fine-tune dashboards to reflect how your company measures key indicators
B) Create a new set of dashboards with new KPIs
C) Use up one of the three wishes granted you by the wizard
D) Alter your Service Cloud implementation

5. When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

A) No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
B) yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
C) 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 over-fitting.
D) Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Solutions: