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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A) Use the "update" transformation and utilize the "filter" node.
B) Use the recipe node "delete" and set "userID" as the deletion ID.
C) Use the combination of recipe transformations: "join" and "filter".

2. Universal Containers has a single dataset that contains the attainment and commission fields for all sales reps.
Each sales rep should be able view the attainment data for each rep in their division. Each repshould only be able to see their own commission data.
Which option should a CRM Analytics consultant use to enforce this requirement?

A) Create separate datasets for attainment and commission, and apply security Predicates and/or sharing inheritance.
B) Add the sales organization to the attainment dataset access list to be able to view commission data.
C) Utilize a single dataset and apply security predicates and/or sharing inheritance.

3. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A) Priority - Logic - Level of Granularity
B) Purpose - Structure - Surface
C) Clarity - Efficiency - Consistency

4. In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A) Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.
B) In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
C) Create an XMD node in the recipe to change the label and color of the values in the fields.

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

Solutions: