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Salesforce Analytics-Con-201 Q&A - in .pdf
- Exam Code: Analytics-Con-201
- Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
- Updated: Sep 27, 2026
- Q & A: 119 Questions and Answers
- Convenient, easy to study.
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- Updated: Sep 27, 2026
- Q & A: 119 Questions and Answers
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- Exam Code: Analytics-Con-201
- Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
- Updated: Sep 27, 2026
- Q & A: 119 Questions and Answers
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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 22% | - Model Building & Configuration
|
| Security & Access | 12% | - Sharing & Permissions
|
| Dashboard Design & Development | 25% | - Design Principles
|
| Analytics Administration & Deployment | 18% | - Implementation & Maintenance
|
| Data Layer | 23% | - Data Sources & Integration
|
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
Question #1
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?
- A. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
- B. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
- C. Analytics REST API used in conjunction with dataflows/recipes.
Correct Answer: A 🗳️
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Question #2
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?
- A. Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
- B. Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
- C. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
Correct Answer: C 🗳️
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Question #3
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. Flatten transformation with offset expressions to calculate the duration
- B. An aggregate transformation with offset parameter to calculate the duration
- C. Custom transformation with a multiple row formula to calculate the duration
Correct Answer: C 🗳️
Question #4
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 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' == "$User.Id". - B. As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\, - C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
'Ownerld' == "$User.Id".
Correct Answer: A 🗳️
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Question #5
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?
- A. Aggregate
- B. Join
- C. Flatten
Correct Answer: C 🗳️
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