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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. 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) Utilize a single dataset and apply security predicates and/or sharing inheritance.
C) Add the sales organization to the attainment dataset access list to be able to view commission data.

2. Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the samedepartment have the same role and need to have access to the same dashboards.
Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?

A) Create one app for each department, put common datasets in the shared app, and use roles to share apps.
B) Create one app for each department, put common datasets in the shared app, and use profiles to share apps.
C) Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.

3. What is a benefit of introducing a second local connector?

A) Better performance by syncing data according to the refresh necessities
B) Better maintenance by having a connector per recipe
C) Better deployment management between sandboxes and production environment

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) A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.
C) Clone the existing recipe to add fields and roll back the original recipe to the last working version.

5. What is the purpose of the CRM Analytics Dashboard Inspector?

A) To see the final query for each widget along with the results.
B) To view the total time required to run all queries.
C) To automatically remove bottlenecks to make queries run faster.

Solutions: