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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A) Drop the field as it will be difficult to get future respondents.
B) Apply the predict missing values transformation in recipe nodes.
C) Fill in the missing data with an average of all incomes.

2. Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

A) Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter.
B) Use an iFrame to embed the Salesforcepage in a remote site.
C) Export the data to a CSV file and load it on the remote site.

3. What can a consultant accomplish in the Predictions page of a model?

A) Create predicted outcome value by manually selecting values for some of the predictor fields.
B) Estimate the impacted business value of using Einstein Discovery.
C) If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.

4. The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed.
How should the consultant accomplish this?

A) Create the dashboard, insert in the account's record page, and apply a filter based on the account's Id field.
B) Create a dashboard, clone it and filter It for each account record, and embed them into the account's record pages accordingly.
C) Create the dashboard, insert in the account's record page, and apply a filter based on the opportunity's Id field.

5. Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A) Segment the account data per region and deploy the appropriate model for each segment.
B) Filter the account data per region and deploy the same model to all segments.
C) Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Solutions: