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

  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Aug 05, 2026
  • Q & A: 117 Questions and Answers

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery22%- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Prepare and assess data for modeling
  • 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
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
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. Use Dataflows and Recipes for transformation
  • 2. Extract, load, and prepare data using Data Manager
  • 3. Define datasets and map Salesforce objects
Security & Access12%- Sharing & Permissions
  • 1. Implement row-level security and inheritance
  • 2. Configure app, dataset, and field-level security
  • 3. Manage user and group access
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Manage versioning and deployment
  • 3. Monitor and optimize query performance

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?

A) In the integration user's currency
B) In the currency that Is set on the "currency" attribute.
C) the connected user's currency


2. A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A) Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
B) Dataflows/recipes with Augment nodes fail until sync has run for the first time.
C) Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.


3. 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 users have access to the dashboard but not the dataset.
B) The permission set for the users Is missing the download data permission.
C) The dashboard has been created for internal use and the users have a view only license.


4. The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

A) The developer turned off dynamic time zone in CRM Analytics settings.
B) The dataset metadata locale Is not overridden by Individual user locale settings.
C) Data within datasets is modified for localization or internationalization.


5. Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?

A) As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
'Ownerld' == "$User.Id".
B) As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\,
C) As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.
UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".


Solutions:

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

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