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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Dashboard Design & Development25%- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Implement bindings, filters, and interactions
  • 3. Use SAQL for advanced queries
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Manage versioning and deployment
  • 2. Monitor and optimize query performance
  • 3. Use Dashboard Inspector and Publisher
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. Select prediction type: numeric, binary, multi-class
  • 3. Train, evaluate, and refine models
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
Data Layer23%- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Resolve data sync and refresh issues
  • 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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q60-Q65):

NEW QUESTION # 60
The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The minutes option is not visible to the user.
What is causing the issue?

Answer: C

Explanation:
In the scenario where Cloud Kicks wants to set the sync refresh time to 5 minutes but finds that the minimum available time is 1 hour, the limitation is due to the licensing and feature availability in CRM Analytics Plus.
Here's the detailed explanation:
* License Restrictions: The CRM Analytics Plus license typically sets the minimum refresh interval at 1 hour. This is a built-in restriction that reflects the platform's capabilities and resource allocation norms.
* Platform Capabilities: While more frequent refreshes would be ideal for achieving near-real-time data synchronization, such capabilities might require additional customization or advanced setup, potentially involving higher tiers of service or additional Salesforce products.
* Operational Considerations: Frequent data refreshes, especially in shorter intervals like 5 minutes, can significantly impact system performance and resource utilization. Therefore, such options are generally restricted or managed tightly within Salesforce environments.
This understanding aligns with Salesforce's documentation and product specifications, which outline what features and capabilities are available under different licensing agreements.


NEW QUESTION # 61
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

Answer: A


NEW QUESTION # 62
The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

Answer: B

Explanation:
In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include:
* Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome.
* Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors- essentially, the average squared difference between the estimated values and what is estimated.
These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model's predictions in real-world applications.


NEW QUESTION # 63
Universal Containers has a dashboard for sales managers that want to visualize their win rate.
Which chart type should the consultant use to keep track of targets?

Answer: A


NEW QUESTION # 64
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?

Answer: C


NEW QUESTION # 65
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