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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery22%- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Train, evaluate, and refine models
  • 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
  • 1. Monitor and maintain model performance
  • 2. Embed predictions in dashboards and Lightning pages
  • 3. Interpret results and recommendations
Security & Access12%- Sharing & Permissions
  • 1. Manage user and group access
  • 2. Configure app, dataset, and field-level security
  • 3. Implement row-level security and inheritance
Data Layer23%- Data Sources & Integration
  • 1. Define datasets and map Salesforce objects
  • 2. Use Dataflows and Recipes for transformation
  • 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Resolve data sync and refresh issues
  • 3. Optimize dataset performance
Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Create lenses, steps, and visualizations
  • 3. Implement bindings, filters, and interactions
- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Monitor and optimize query performance
  • 2. Use Dashboard Inspector and Publisher
  • 3. Manage versioning and deployment

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q26-Q31):

NEW QUESTION # 26
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

Answer: C


NEW QUESTION # 27
Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

Answer: A


NEW QUESTION # 28
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "* & **( & *(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

Answer: A

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as " & **( & (%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
Reference: You can find the CSV upload rules, including naming conventions and auto-formatting behaviors, outlined in theSalesforce CRM Analyticsdocumentation provided during training, particularly under the module "Wave Analytics Explorer."


NEW QUESTION # 29
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

Answer: C


NEW QUESTION # 30
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?

Answer: A


NEW QUESTION # 31
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