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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery22%- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Train, evaluate, and refine models
- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Embed predictions in dashboards and Lightning pages
  • 3. Monitor and maintain model performance
Topic 2: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Monitor and optimize query performance
  • 2. Manage versioning and deployment
  • 3. Use Dashboard Inspector and Publisher
Topic 3: Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Use SAQL for advanced queries
  • 3. Implement bindings, filters, and interactions
- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
Topic 4: 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
Topic 5: Data Layer23%- Data Sources & Integration
  • 1. Use Dataflows and Recipes for transformation
  • 2. Extract, load, and prepare data using Data Manager
  • 3. Define datasets and map Salesforce objects
- Data Management & Optimization
  • 1. Resolve data sync and refresh issues
  • 2. Optimize dataset performance
  • 3. Implement data modeling and relationships

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

A user is able to access the dashboards, lenses, and datasets of a particular app but is unable to change the name of the specific app.
What is causing the issue?

  • A. The app name cannot be changed once created.
  • B. The user does not have Editor access for that app.
  • C. The user does not have Manager access for that app.
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Correct Answer: C  🗳️

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The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed.
How should the consultant accomplish this?

  • A. Create the dashboard, insert in the account's record page, and apply a filter based on the account's Id field.
  • B. Create the dashboard, insert in the account's record page, and apply a filter based on the opportunity's Id field.
  • C. Create a dashboard, clone it and filter It for each account record, and embed them into the account's record pages accordingly.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
What is causing the issue?

  • A. The dashboard has been created for internal use and the users have a view only license.
  • B. The users have access to the dashboard but not the dataset.
  • C. The permission set for the users Is missing the download data permission.
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Correct Answer: C  🗳️

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Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

  • A. Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
  • B. Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
  • C. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
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Correct Answer: C  🗳️

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Which timeseries statement will fix the query?

  • A. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
    'Date_Month', "Y-M"), partition='Region');
  • B. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
    'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
  • C. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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