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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery20%- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
- Describe Einstein Discovery concepts
  • 1. Identify the use cases for Einstein Discovery
  • 2. Interpret model results
  • 3. Explain the model building process
Topic 2: Security10%- Determine security and sharing settings
  • 1. Implement row-level security
  • 2. Describe how Salesforce security is applied in CRM Analytics
Topic 3: Data Layer25%- Identify the right data sources and data flows for CRM Analytics
  • 1. Define datasets
  • 2. Describe use cases for Data Prep (Dataflows and Recipes)
  • 3. Describe how Salesforce objects map to CRM Analytics
- Implement and configure the right data transformations
  • 1. Identify and resolve data sync issues
  • 2. Use Data Prep actions
Topic 4: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Configure bindings
  • 2. Apply query filters
  • 3. Set up dynamic dashboards
Topic 5: Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Apply design best practices
  • 2. Describe the use cases for Visualforce and Lightning components
  • 3. Use Lenses and Dashboards

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q37-Q42):

NEW QUESTION # 37
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?

Answer: A


NEW QUESTION # 38
A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?

Answer: A


NEW QUESTION # 39
Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

Answer: B


NEW QUESTION # 40
Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values:
ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year.
What should the consultant do next?

Answer: B


NEW QUESTION # 41
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?

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 # 42
......

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