• Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Certification Provider: Salesforce
  • Corresponding Certification:Salesforce Consultant
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Analytics-Con-201
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Sep 03, 2026
  • No. of Questions: 117 Questions and Answers
  • Download Limit: Unlimited

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

Question 1

A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?

A. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
B. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
C. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.


Question 2

After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

A. The outcome variable may be causing data leakage.
B. The dataset contains multiple dominant values.
C. The model contains too many outlier values.


Question 3

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

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


Question 4

The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?

A. Develop separate dashboards and datasets and put them in the Manager's app.
B. Apply data encryption using Salesforce Shield.
C. Create separate apps, datasets, and dashboards, and share them with the proper users.


Question 5

Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?

A. Differences involving trigger-updated fields
B. Differences involving flow-updated fields
C. Differences involving formula fields


Solutions:

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

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