Salesforce Certified CRM Analytics and Einstein Discovery Consultant - Analytics-Con-201

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A system administrator and a CRM Analytics consultant are working together on deploying arecipe/dataflow and a dataset to another org. Prior to this deployment, a package was deployed with all the custom fields used in the dataflow and dataset.
While running the recipe/dataflow in the target environment, the consultant encounters multiple errors related to these custom fields.
How should this be resolved?

A) Check whether the consultant has been provided access to these custom fields on the target org.
B) Check whether the system administrator has been provided access to these custom fields on the target org.
C) Check whether the Analytics Integration user has been provided access to these custom fields on the target org.

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

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

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

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) Join
B) Aggregate
C) Flatten

Solutions: