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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q31-Q36):

NEW QUESTION # 31
Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?

A. Incremental data syne Is NOT supported for big objects.
B. Only SOSL queries can be used as data syne filters.
C. Custom big objects are NOT supported by CRM Analytics.

Answer: A

NEW QUESTION # 32
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. Write an Apex class with Einstein Discovery Predictions and append them to process.
B. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
C. Use the Einstein Discovery flow action to make a prediction with the flow.

Answer: C

NEW QUESTION # 33
Universal Containers' CRM Analytics team is building a dashboard with two widgets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings/interactions so any selection in the List widget will filter the Donut chart. The queries use different datasets, and users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding/interaction?

A. Option C
B. Option A
C. Option B

Answer: B

Explanation:
For the given requirement where a selection in a list widget needs to filter data displayed on a donut chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right syntax, as indicated in Option A, looks like this:
"{{column(Type_2.selection, [\"Type\"]).asObject()}}"
This syntax ensures:
* Multi-selection: The column() function in combination with .asObject() ensures that multiple selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize to filter its content.
* Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring accurate filtering.

NEW QUESTION # 34
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

A. Create a second dashboard and move the table to this new dashboard.
B. Create a Visualforce page and display a list view of the Opportunities on this new page.
C. Create a second page on the dashboard and move the table to this new page.

Answer: C

Explanation:
Reference:CRM Analytics Dashboard Optimization

NEW QUESTION # 35
A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes.
How should the consultant proceed to update the dashboard?

A. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.
B. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.
C. Wait for a period of least usability or the dashboard to edit it.

Answer: A

NEW QUESTION # 36
......

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