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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Layer | 25% | - Identify the right data sources and data flows for CRM Analytics
|
| Topic 2: Security | 10% | - Determine security and sharing settings
|
| Topic 3: Einstein Discovery | 20% | - Describe Einstein Discovery concepts
|
| Topic 4: Analytics Dashboard Design | 20% | - Design and build CRM Analytics dashboards
|
| Topic 5: Analytics Dashboard Configuration | 25% | - Configure dashboards
|
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NEW QUESTION # 88
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?
Answer: C
Explanation:
Reference:CRM Analytics Recipes and Transformation
NEW QUESTION # 89
Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top
10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.
Which action is required to accomplish this?
Answer: C
Explanation:
To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.
This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.
Reference: This approach is covered in theBuilding Lenses, Dashboards, and Apps in CRM Analyticsmodule, where techniques for creating dynamic queries are discussed.
NEW QUESTION # 90
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?
Answer: A
Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.
NEW QUESTION # 91
A CRM Analytics consultant at Cloud Kicks wants to create a new dashboard that uses custom GeoJSON to display data; however, they are unable to upload the file via the user interface (UI).
Which action should the consultant take?
Answer: A
Explanation:
If a consultant at Cloud Kicks needs to use custom GeoJSON files for dashboard visualization and cannot upload the file via the CRM Analytics user interface (UI), the recommended action is to use the API for this purpose. Here's why this approach is suggested:
* Functionality Limitation in UI: Currently, the CRM Analytics UI does not support direct uploads of GeoJSON files, which necessitates an alternative method.
* API Flexibility: The API provides a more flexible route for uploading custom GeoJSON files, allowing consultants to integrate more complex or larger datasets that are not supported through standard UI functionalities.
* Customization and Control: Using the API also offers greater control over how GeoJSON data is handled, processed, and utilized within CRM Analytics, catering to more advanced customization needs.
This method ensures that the consultant can fully utilize CRM Analytics' capabilities for creating highly customized geographic visualizations, thereby enhancing the analytical value of the dashboards.
NEW QUESTION # 92
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 # 93
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