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Salesforce Analytics-Con-201 - Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Updated: Aug 26, 2026

Q & A: 117 Questions and Answers

Analytics-Con-201 Braindumps VCE
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Layer23%- Data Sources & Integration
  • 1. Extract, load, and prepare data using Data Manager
  • 2. Define datasets and map Salesforce objects
  • 3. Use Dataflows and Recipes for transformation
- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Resolve data sync and refresh issues
  • 3. Optimize dataset performance
Topic 2: 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. Embed predictions in dashboards and Lightning pages
  • 2. Interpret results and recommendations
  • 3. Monitor and maintain model performance
Topic 3: Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Implement bindings, filters, and interactions
  • 2. Use SAQL for advanced queries
  • 3. Create lenses, steps, and visualizations
- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
Topic 4: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Implement row-level security and inheritance
  • 3. Manage user and group access
Topic 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Monitor and optimize query performance
  • 3. Manage versioning and deployment

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. What can a consultant accomplish in the Predictions page of a model?

A) Create predicted outcome value by manually selecting values for some of the predictor fields.
B) Estimate the impacted business value of using Einstein Discovery.
C) If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.


2. 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) Wait for a period of least usability or the dashboard to edit it.
C) Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.


3. A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?

A) The dataflow has to be turned off and only the recipe should run.
B) The recipe has to be turned off and only the dataflow should run.
C) The convertor has created a new dataset with a new ID.


4. 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)

B)

C)


5. The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?

A) The dashboard or App permission needs to be updated to Editor.
B) The dashboard is deleted by a user with Manager access to the App.
C) The dashboard has been hidden by a user with Manager access to the App.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: A
Question # 5
Answer: C

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