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New CRM-Analytics-and-Einstein-Discovery-Consultant Test Syllabus, CRM-Analytics-and-Einstein-Discovery-Consultant Visual Cert Exam
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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q10-Q15):
NEW QUESTION # 10
A consultant wants to understand what the important predictors are in a model.
Where is this information found?
- A. Einstein Recommendations
- B. Model Settings
- C. Model Deployment Wizard
Answer: B
Explanation:
The important predictors of a model in CRM Analytics can typically be found under theModel Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model.
Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.
NEW QUESTION # 11
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. Area Under Curve, Confusion Matrix
- C. Root Mean Square Error, Minimum Square Error
Answer: C
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 # 12
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?
- A. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
- B. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
- C. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
Answer: C
Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
NEW QUESTION # 13
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?
- A. Dataflow Editor
- B. Step Editor
- C. Recipes Editor
- D. Settings
Answer: A
Explanation:
https://help.salesforce.com/articleView?id=bi_integrate_edgemart_transformation.htm&type=5
NEW QUESTION # 14
After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers
- A. There are widgets that cannot be displayed on mobile layouts.
- B. If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)
- C. A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.
- D. If no layouts are eligible for the mobile device, an error message will be displayed.
- E. If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)
Answer: B,C,E
Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_dashboard_designer_basics/wave_take_analytics_on_the_go
NEW QUESTION # 15
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