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A CRM Analytics consultant is updating an existing recipe. They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard. What should the consultant do to accomplish this?
A. Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
B. Use the array multivalue function to convert this field to a text prior to registering the dataset.
C. Use the string multivalue function to convert this field to a text prior to registering the dataset.
A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a ‘Live’ version is still being usedby other users. Once the changes are complete, the user can then set their updated version as the Live version. Which CRM Analytics item is this leveraged for?
A. App
B. Dataset
C. goats
Explanation:
In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage.
Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live.
This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.
Universal Containers has a dashboard for sales managers that want to visualize their win rate. Which chart type should the consultant use to keep track of targets?
A. Metric Radar
B. Gauge
C. Line
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running. What is causing the dataflow/recipe to fail?
A. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
B. Dataflows/recipes with Augment nodes fail until sync has run for the first time.
C. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
A. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
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