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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	25%	- Identify the right data sources and data flows for CRM Analytics 1. Describe how Salesforce objects map to CRM Analytics 2. Describe use cases for Data Prep (Dataflows and Recipes) 3. Define datasets - Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues
Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics
Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Use Lenses and Dashboards 2. Apply design best practices 3. Describe the use cases for Visualforce and Lightning components
Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Explain the model building process 2. Identify the use cases for Einstein Discovery 3. Interpret model results - Implement Einstein Discovery 1. Integrate predictions into CRM Analytics dashboards 2. Configure and deploy Einstein Discovery models
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Set up dynamic dashboards 2. Apply query filters 3. Configure bindings

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q85-Q90):

NEW QUESTION # 85
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of theprofile even though a sync wasrun for that specific object.
What is causing the issue?

A. Column profiling Is not applicable on a dimension column in a recipe.
B. The sample does not include changes to the connected object data within the last 24 hours.
C. Sync operation has not run properly with the new dimension column in the recipe.

Answer: B

NEW QUESTION # 86
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A. Use the Einstein Discovery flow action to make a prediction with the flow.
B. Write an Apex class with Einstein Discovery Predictions and append them to process.
C. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.

Answer: A

NEW QUESTION # 87
A system administrator at Cloud Kicks creates a joined report to showcase the new business deals closing in the current quarter, which was well received by the business stakeholders. A manager wants to visualize this report on CRM Analytics.
The CRM Analytics consultant determines the report can be trended on CRM Analytics, but it's not working as expected.
What is causing the issue?

A. Trending dashboards cannot be created from joined reports.
B. The Analytics Integration user did not have permission to view the report on Salesforce.
C. The Salesforce report was filtered on quarterly data which meant it did not have enough data to trend on CRM Analytics.

Answer: A

NEW QUESTION # 88
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A. A Identify additional data that may have a stronger relationship with the outcome variable.
B. Use the appropriate algorithm and update the model.
C. Edit the model accuracy settings and rerun it to evaluate the correlation.

Answer: A

NEW QUESTION # 89
A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?

A. Use the string multivalue function to convert this field to a text prior to registering the dataset.
B. Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
C. Use the array multivalue function to convert this field to a text prior to registering the dataset.

Answer: B

NEW QUESTION # 90
......

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