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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A CRM Analytics consultant is working on Sales dashboards with multiple datasets and advanced queries in the Sales Analytics app.
Sales managers in the organization have been given Editor/Manager access to the app, whereas sales reps have been given Viewer access.
Some dashboards that are in progress are not ready to be rolled out to sales reps and should only be viewable by sales managers.
How should the consultant accomplish this?

A) Remove the dashboard from the 'Run App' navigation list so the sales reps cannot navigate to these dashboards.
B) Leverage the CRM Analytics asset visibility feature to hide the assets from the users.
C) Duplicate the dashboards and their respective datasets, and move the assets to a separate app for the sales rep.

2. A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A) The column header is auto-updated to "Column" + column number.
B) The columnheaderis prefixed with "X" upon upload.
C) The column header Is set to *&**(&*(%.

3. A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?

A) Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
B) Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
C) Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.

4. A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?

A) Refresh the dataset after working hours to avoid the edited version from failing.
B) Clone the existing recipe to add fields and roll back the original recipe to the last working version.
C) A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.

5. A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

A) Flatten
B) Join
C) Aggregate

Solutions: