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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Manage user and group access
  • 3. Implement row-level security and inheritance
Topic 2: Einstein Discovery22%- Deployment & Usage
  • 1. Monitor and maintain model performance
  • 2. Interpret results and recommendations
  • 3. Embed predictions in dashboards and Lightning pages
- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Train, evaluate, and refine models
Topic 3: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Manage versioning and deployment
  • 2. Use Dashboard Inspector and Publisher
  • 3. Monitor and optimize query performance
Topic 4: Dashboard Design & Development25%- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Create lenses, steps, and visualizations
  • 3. Implement bindings, filters, and interactions
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:

consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

  • A. Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.
  • B. Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
  • C. Set the organization-wide default for the Opportunity object to Public Read/Write.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.
What is the first step the CRM Analytics consultant should take?

  • A. Use MuleSoft to generate an API ta connect and push data from SFDC to Tableau.
  • B. Select the output connection in the "write to" option of the recipe.
  • C. Enable the Tableau output connection in the Analytics settings.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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 array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
  • B. Use the string multivalue function to 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.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

  • A. Root Mean Square Error, Minimum Square Error
  • B. Area Under Curve, Confusion Matrix
  • C. Area Under Curve, R2 (R-squared)
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

  • A. Use the combination of recipe transformations: "join" and "filter".
  • B. Use the recipe node "delete" and set "userID" as the deletion ID.
  • C. Use the "update" transformation and utilize the "filter" node.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

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