Salesforce Analytics-Con-201 Examsfragen - Analytics-Con-201 Fragen Beantworten

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Einstein Discovery	- Model building and predictions - Insights interpretation and recommendations
Data Management and Preparation	- Dataset creation and configuration in CRM Analytics - Data transformation and dataflows
Security and Access	- App and dataset permissions - Row-level security and sharing rules
Data Integration and Connectivity	- Connecting external data sources - Data synchronization and refresh strategies
Dashboard and App Development	- Lens creation and dashboard design - Interactive filters and user experience optimization

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Salesforce Analytics-Con-201 Quiz - Analytics-Con-201 Studienanleitung & Analytics-Con-201 Trainingsmaterialien

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Analytics-Con-201 Prüfungsfragen mit Lösungen (Q102-Q107):

102. Frage
The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?

A. Apply data encryption using Salesforce Shield.
B. Develop separate dashboards and datasets and put them in the Manager's app.
C. Create separate apps, datasets, and dashboards, and share them with the proper users.

Antwort: C

Begründung:
Reference:Managing Data Access and Sharing in CRM Analytics

103. Frage
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

A. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
B. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
C. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".

Antwort: B

104. Frage
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

A. Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
B. Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
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.

Antwort: C

Begründung:
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.

105. Frage
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?

A. Area Under Curve, R2 (R-squared)
B. Root Mean Square Error, Minimum Square Error
C. Area Under Curve, Confusion Matrix

Antwort: B

Begründung:
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.

106. Frage
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. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
B. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
C. Analytics REST API used in conjunction with dataflows/recipes.

Antwort: B

107. Frage
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