Analytics-Con-201日本語試験情報、Analytics-Con-201受験記対策

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery22%- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Train, evaluate, and refine models
  • 3. Select prediction type: numeric, binary, multi-class
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 Sources & Integration
  • 1. Extract, load, and prepare data using Data Manager
  • 2. Use Dataflows and Recipes for transformation
  • 3. Define datasets and map Salesforce objects
- Data Management & Optimization
  • 1. Resolve data sync and refresh issues
  • 2. Implement data modeling and relationships
  • 3. Optimize dataset performance
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Manage versioning and deployment
  • 2. Monitor and optimize query performance
  • 3. Use Dashboard Inspector and Publisher
Dashboard Design & Development25%- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Use SAQL for advanced queries
  • 3. Implement bindings, filters, and interactions

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q54-Q59):

質問 # 54
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

正解：A


質問 # 55
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:

This, however, does not seem to be working as expected.
What is causing the issue?

正解：B

解説：
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:
* Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
* Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
* Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.


質問 # 56
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?

正解：B

解説：
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.


質問 # 57
A system administrator at Cloud Kicks creates a joined report to showcase the new business deals closing in the current quarter, which was well received by the business stakeholders. A manager wants to visualize this report on CRM Analytics.
The CRM Analytics consultant determines the report can be trended on CRM Analytics, but it's not working as expected.
What is causing the issue?

正解：B


質問 # 58
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

正解：A

解説：
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
* Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
* Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
* Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.


質問 # 59
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