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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Einstein Discovery | 22% | - Deployment & Usage
|
| Topic 2: Security & Access | 12% | - Sharing & Permissions
|
| Topic 3: Data Layer | 23% | - Data Sources & Integration
|
| Topic 4: Analytics Administration & Deployment | 18% | - Implementation & Maintenance
|
| Topic 5: Dashboard Design & Development | 25% | - Design Principles
|
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NEW QUESTION # 101
For a story created using multiple data sources (Salesforce, CSV, and external data), what is a possible fix for the issue shown in the prediction?
Answer: A
Explanation:
A supplemental dataset is appropriate when an Einstein Discovery model requires predictor information that is not available directly on the Salesforce object used for scoring. During model deployment, CRM Analytics allows supplemental datasets to provide external data, computed fields, or other required model variables. The supplemental dataset is associated with the Salesforce object through corresponding record-ID fields, allowing the additional predictor values to be supplied when predictions are generated. This directly addresses the missing-field situation shown in the exhibit. Deploying without connecting to a Salesforce object is intended primarily when the model does not depend on a Salesforce object, while actionable variables determine which variables Einstein can recommend changing to improve an outcome; they do not supply missing predictor data. Therefore, creating and associating a supplemental dataset is the appropriate solution.
NEW QUESTION # 102
Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?
Answer: B
Explanation:
When deploying a model with the option "Deploy without connecting to a Salesforce Object", the suitable capabilities include:
* Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without directly writing back to Salesforce objects.
* Flexibility in Application: This method provides flexibility in how predictions are utilized across various Salesforce processes and workflows, without the need for direct data manipulation within Salesforce objects.
* Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations can automate decision-making processes, enhance user interactions, and streamline operations based on predictive outcomes.
This setup aligns with Salesforce's best practices for leveraging CRM Analytics to enhance operational efficiency and decision accuracy across different business functions.
NEW QUESTION # 103
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?
Answer: C
Explanation:
Reference:Managing Data Access and Sharing in CRM Analytics
NEW QUESTION # 104
Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.
Which widget parameters should a consultant use?
Answer: C
Explanation:
In the scenario described, the sales managers at Universal Containers require a Gauge chart that not only shows the current percentage of opportunities in their pipeline but also indicates whether they arebelow or beyond their set targets. The appropriate widget parameters to achieve this visualization in Salesforce CRM Analytics (formerly known as Einstein Analytics) are:
* Reference Line: This parameter is crucial for defining a specific target value on the gauge chart. It visually marks a point that represents the target goal, providing an immediate visual cue as to whether the current percentage is below or above this point.
* Markers: Markers are used to represent and highlight specific values on the gauge chart. They can be utilized to emphasize the current percentage level of the pipeline, making it instantly visible how close or far the current value is from the reference line or target.
* Conditional Formatting: This feature allows the chart to change color or style based on whether the current values meet, exceed, or fall below the target. It is a critical visual tool for quickly communicating performance against targets. Conditional formatting can be set to alter the appearance of the gauge's fill color based on whether the values are above, equal to, or below the reference line, thereby providing an intuitive visual representation of performance relative to targets.
The combination of these three parameters enables a highly effective visualization for sales managers to monitor their performance against key metrics and targets directly on their dashboards. This setup is aligned with Salesforce's best practices for creating meaningful and actionable insights within CRM dashboards, ensuring that users can easily interpret and react to the data presented.
For more details on configuring these parameters, you can refer to Salesforce documentation and specific Trailhead modules that cover dashboard creation and customization:
* Wave Analytics Explorer
* Building Lenses, Dashboards, and Apps in CRM Analytics
These resources provide in-depth training and examples to help users effectively use Salesforce CRM Analytics for a wide range of data visualization needs.
NEW QUESTION # 105
Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?
Answer: B
NEW QUESTION # 106
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