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[General] Pass Guaranteed Salesforce - Efficient Data-Cloud-Consultant Passing Score Feedb

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【General】 Pass Guaranteed Salesforce - Efficient Data-Cloud-Consultant Passing Score Feedb

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Salesforce Certified Data Cloud Consultant Sample Questions (Q136-Q141):NEW QUESTION # 136
A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real-time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?
  • A. Transform data before ingesting into Data Cloud.
  • B. Use Apex to transform and cleanse data.
  • C. Implement batch data transformations.
  • D. Implement streaming data transformations.
Answer: D

NEW QUESTION # 137
A customer has a requirement to receive a notification whenever an activation fails for a particular segment.
Which feature should the consultant use to solution for this use case?
  • A. Report
  • B. Activation alert
  • C. Dashboard
  • D. Flow
Answer: B
Explanation:
The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise. Reference: Salesforce Data Cloud Consultant Exam Guide, Activation Alerts

NEW QUESTION # 138
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?
  • A. "branch" (dimension)
  • B. "high net worth" (filter)
  • C. "banking value" (metric)
  • D. "branch" (dimension) and "banking metric)
Answer: A
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

NEW QUESTION # 139
Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.
What are two of the available datasets in Marketing Cloud Starter Data Bundles?
Choose 2 answers
  • A. Loyalty Management
  • B. MobilePush
  • C. MobileConnect
  • D. Personalization
Answer: B,C
Explanation:
Explanation
The Marketing Cloud Starter Data Bundles are predefined data bundles that allow you to easily ingest data from Marketing Cloud into Data Cloud1. The available datasets in Marketing Cloud Starter Data Bundles are Email, MobileConnect, and MobilePush2. These datasets contain engagement events and metrics from different Marketing Cloud channels, such as email, SMS, and push notifications2. By using these datasets, you can enrich your Data Cloud data model with Marketing Cloud data and create segments and activations based on your marketing campaigns and journeys1. The other options are incorrect because they are not available datasets in Marketing Cloud Starter Data Bundles. Option A is incorrect because Personalization is not a dataset, but a feature of Marketing Cloud that allows you to tailor your content and messages to your audience3. Option C is incorrect because Loyalty Management is not a dataset, but a product of Marketing Cloud that allows you to create and manage loyaltyprograms for your customers4. References: Marketing Cloud Starter Data Bundles in Data Cloud, Connect Your Data Sources, Personalization in Marketing Cloud, Loyalty Management in Marketing Cloud

NEW QUESTION # 140
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?
  • A. Last Number of Days
  • B. Next Number of Days
  • C. Is Between
  • D. Greater than Last Number of
Answer: A
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 date12. Reference:
Relative Date Filter Reference
Create Filtered Segments

NEW QUESTION # 141
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