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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Define datasets and map Salesforce objects
  • 3. Extract, load, and prepare data using Data Manager
Topic 2: Einstein Discovery22%- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Prepare and assess data for modeling
- Deployment & Usage
  • 1. Monitor and maintain model performance
  • 2. Interpret results and recommendations
  • 3. Embed predictions in dashboards and Lightning pages
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: 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. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

Answer: A


NEW QUESTION # 63
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of theprofile even though a sync wasrun for that specific object.
What is causing the issue?

Answer: A


NEW QUESTION # 64
A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permissionbut is unable to download the error log details.
Why is the manager unable to download the log details?

Answer: C

Explanation:
In CRM Analytics, when a CSV file is uploaded and errors occur during the upload process, an error log is generated. However, only the user who uploaded the external data file can download the error log, even if other users have administrative permissions. This restriction ensures that only the user responsible for the data upload can access the details to resolve the issues.
Reference: The limitations and permissions surroundingexternal data uploadsand error logs are outlined inCRM Analyticspermissions documentation.


NEW QUESTION # 65
Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?

Answer: C


NEW QUESTION # 66
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?

Answer: B

Explanation:
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.


NEW QUESTION # 67
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