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Free Data-Cloud-Consultant Exam Braindumps (page: 22)

Page 21 of 44
PDF with 170 Questions

Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?

  1. Use a calculated insight paired with a flow.
  2. Use streaming data transform with a flow.
  3. Use a streaming insight paired with a data action
  4. Use streaming data transform combined with a data action.

Answer(s): C

Explanation:

A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action.


Reference:

Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors



Cumulus Financial uses calculated insights to compute the total banking value per branch for its high net worth customers. In the calculated insight, "banking value" is a metric, "branch" is a dimension, and "high net worth" is a filter.

What can be included as an attribute in activation?

  1. "high net worth" (filter)
  2. "branch" (dimension) and "banking metric)
  3. "banking value" (metric)
  4. "branch" (dimension)

Answer(s): D

Explanation:

According to the Salesforce Data Cloud documentation, an attribute is a dimension or a measure that can be used in activation. A dimension is a categorical variable that can be used to group or filter data, such as branch, region, or product. A measure is a numerical variable that can be used to calculate metrics, such as revenue, profit, or count. A filter is a condition that can be applied to limit the data that is used in a calculated insight, such as high net worth, age range, or gender. In this question, the calculated insight uses "banking value" as a metric, which is a measure, and "branch" as a dimension. Therefore, only "branch" can be included as an attribute in activation, since it is a dimension. The other options are either measures or filters, which are not attributes.


Reference:

Data Cloud Permission Sets, Salesforce Data Cloud Exam Questions



Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous 7 days.
Which filter operator on the Engagement Date field fits this use case?

  1. Is Between
  2. Greater than Last Number of
  3. Next Number of Days
  4. Last Number of Days

Answer(s): D

Explanation:

The filter operator Last Number of Days allows you to filter on date fields using a relative date range that specifies the number of days before today. For example, you can use this operator to filter on customers who have visited your website in the last 7 days, or the last 30 days, or any number of days you want. This operator is useful for creating dynamic segments that update automatically based on the current date.


Reference:

Relative Date Filter Reference
Create Filtered Segments



The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.

Which statement addresses the cause of this issue?

  1. The Salesforce Integration User Is missing Rad permissions on the newly created field.
  2. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
  3. Custom fields on the Case object are not supported for ingesting into Data Cloud.
  4. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.

Answer(s): A

Explanation:

The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set.


Reference:

Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams






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