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

Analytics-Con-201 Exam Simulator
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Sep 13, 2026
  • Q & A: 117 Questions and Answers

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery22%- Model Building & Configuration
  • 1. Select prediction type: numeric, binary, multi-class
  • 2. Train, evaluate, and refine models
  • 3. Prepare and assess data for modeling
- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
Topic 2: Dashboard Design & Development25%- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Use SAQL for advanced queries
  • 3. Implement bindings, filters, and interactions
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: 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. Implement data modeling and relationships
  • 3. Optimize dataset performance
Topic 5: 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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

Question #1

Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity spends in each stage. The data can be found in the Opportunity History object, but the value is not pre- calculated in Salesforce, so a consultant recommends using a recipe to calculate it.
How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

  • A. Custom transformation with a multiple row formula to calculate the duration
  • B. Flatten transformation with offset expressions to calculate the duration
  • C. An aggregate transformation with offset parameter to calculate the duration
Answer: A
Question #2

A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

  • A. Create a second dashboard and move the table to this new dashboard.
  • B. Create a Visualforce page and display a list view of the Opportunities on this new page.
  • C. Create a second page on the dashboard and move the table to this new page.
Answer: C
Question #3

A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?

  • A. Total number of enabled objects
  • B. Salesforce external connector number of synced rows
  • C. Storage rows of data
Answer: A

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Question #4

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 recipe node "delete" and set "userID" as the deletion ID.
  • B. Use the combination of recipe transformations: "join" and "filter".
  • C. Use the "update" transformation and utilize the "filter" node.
Answer: B
Question #5

CRM Analytics uses permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow/recipe job runs.
Why should a consultant be cautious while syncing objects and fields containing sensitive data?

  • A. The Integration User has Create and Modify All Data access.
  • B. The Integration User has Modify All Data access.
  • C. The Integration User has View All Data access.
Answer: C

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