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For the Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) web-based practice exam no special software installation is required. Because it is a browser-based Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) practice test. The web-based Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows.

Salesforce Certified Data Cloud Consultant Sample Questions (Q150-Q155):

NEW QUESTION # 150
A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?

A. Use Consent API to request deletion of the customer's information.
B. Use the Data Rights Subject Request tool to request deletion of the customer's information.
C. Use a streaming API call to delete the customer's information.
D. Use Profile Explorer to delete the customer data from Data Cloud.

Answer: B

Explanation:
Explanation
The Data Rights Subject Request tool is a feature that allows Data Cloud users to manage customer requests for data access, deletion, or portability. The tool provides a user interface and an API to create, track, and fulfill data rights requests. The tool also generates a report that contains the customer's personal data and the actions taken to comply with the request. The consultant should use this tool to accommodate the customer's request for data deletion in Data Cloud. References: Data Rights Subject Request Tool, Create a Data Rights Subject Request

NEW QUESTION # 151
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?

A. Use the source priority order in activations to make sure a contact point from the desired source is delivered to the activation target.
B. Include Contact Point Email object Is Active field as a match rule.
C. Set the default reconciliation rule to Last Updated.
D. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliation rule.

Answer: A

Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations

NEW QUESTION # 152
A customer wants to create segments of users based on their Customer Lifetime Value.
However, the source data that will be brought into Data Cloud does not include that key performance indicator (KPI).
Which sequence of steps should the consultant follow to achieve this requirement?

A. Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation
B. Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation
C. Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation
D. Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation

Answer: A

Explanation:
Explanation
To create segments of users based on their Customer Lifetime Value (CLV), the sequence of steps that the consultant should follow is Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation. This is because the first step is to ingest the source data into Data Cloud using data streams1. The second step is to map the source data to the data model, which defines the structure and attributes of the data2. The third step is to create a calculated insight, which is a derived attribute that is computed based on the source or unified data3. In this case, the calculated insight would be the CLV, which can be calculated using a formula or a query based on the sales order data4. The fourth step is to use the calculated insight in segmentation, which is the process of creating groups of individuals or entities basedon their attributes and behaviors. By using the CLV calculated insight, the consultant can segment the users by their predicted revenue from the lifespan of their relationship with the brand. The other options are incorrect because they do not follow the correct sequence of steps to achieve the requirement. Option B is incorrect because it is not possible to create a calculated insight before ingesting and mapping the data, as the calculated insight depends on the data model objects3. Option C is incorrect because it is not possible to create a calculated insight before mapping the data, as the calculated insight depends on the data model objects3. Option D is incorrect because it is not recommended to create a calculated insight before mapping the data, as the calculated insight may not reflect the correct data model structure and attributes3. References: Data Streams Overview, Data Model Objects Overview, Calculated Insights Overview, Calculating Customer Lifetime Value (CLV) With Salesforce, [Segmentation Overview]

NEW QUESTION # 153
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?

A. Partial refresh
B. Full refresh
C. Incremental
D. Manual refresh

Answer: B

Explanation:
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
* Incremental Refresh: Only updates with new or changed data since the last refresh.
* Manual Refresh: Requires a user to manually initiate the data load.
* Partial Refresh: Only a subset of the data is refreshed.
* Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
References:
* Salesforce Documentation: Data Stream Setup
* Salesforce Data Cloud Guide

NEW QUESTION # 154
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) and "banking metric)
B. "high net worth" (filter)
C. "banking value" (metric)
D. "branch" (dimension)

Answer: 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

NEW QUESTION # 155
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