Salesforce Analytics-Con-201 Lernhilfe & Analytics-Con-201 Zertifikatsdemo

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security & Access12%- Sharing & Permissions
  • 1. Manage user and group access
  • 2. Configure app, dataset, and field-level security
  • 3. Implement row-level security and inheritance
Topic 2: Einstein Discovery22%- Deployment & Usage
  • 1. Embed predictions in dashboards and Lightning pages
  • 2. Monitor and maintain model performance
  • 3. Interpret results and recommendations
- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Train, evaluate, and refine models
  • 3. Select prediction type: numeric, binary, multi-class
Topic 3: Data Layer23%- Data Sources & Integration
  • 1. Define datasets and map Salesforce objects
  • 2. Use Dataflows and Recipes for transformation
  • 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Resolve data sync and refresh issues
  • 3. Optimize dataset performance
Topic 4: 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 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Monitor and optimize query performance
  • 2. Manage versioning and deployment
  • 3. Use Dashboard Inspector and Publisher

>> Salesforce Analytics-Con-201 Lernhilfe <<

Hilfsreiche Prüfungsunterlagen verwirklicht Ihren Wunsch nach der Zertifikat der Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Analytics-Con-201 Prüfungsfragen mit Lösungen (Q118-Q123):

118. Frage
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?

Antwort: C

Begründung:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount.
Here's why Option B is the ideal approach:
* Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
* Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
* Security Predicate: The predicate ('ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' ==
'$User.Id' || 'Ownerld' == "$User.Id") effectively enforces that:
* A user can see all orders where their role matches any of the role IDs in the 'ParentRoleIDs' list (hierarchical visibility).
* A user can see all orders where they are specifically listed as a team member.
* A user can see all orders where they are the owner.
This approach aligns with best practices for implementing row-level security in CRM Analytics, ensuring data visibility is managed correctly according to the defined organizational hierarchy and individual data ownership.


119. Frage
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

Antwort: C

Begründung:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.


120. Frage
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

Antwort: B


121. Frage
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

Antwort: A


122. Frage
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?

Antwort: C


123. Frage
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Die echten und originalen Prüfungsfragen und Antworten zu Analytics-Con-201(Salesforce Certified CRM Analytics and Einstein Discovery Consultant)bei EchteFrage wurden verfasst von unseren Salesforce-Experten mit den Informationen von Analytics-Con-201(Salesforce Certified CRM Analytics and Einstein Discovery Consultant)aus dem Testcenter wie PROMETRIC oder VUE.

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