Question # 1
| A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted? | | A. In Data Cloud settings | | B. On the individual data profile in Data Cloud | | C. In Marketing Cloud settings | | D. through Consent API |
C. In Marketing Cloud settings
Explanation: Data Deletion Requests: For companies using Salesforce Marketing Cloud and Data Cloud, managing data privacy and deletion requests is essential. Marketing Cloud Connector: This connector facilitates data integration between Marketing Cloud and Data Cloud, but data deletion requests must follow specific procedures.
Deletion Requests in Marketing Cloud:
Data Management: Requests for data deletion or the right to be forgotten are submitted through Marketing Cloud settings, where the customer data is originally stored and managed.
Propagation: Once the request is processed in Marketing Cloud, the changes are propagated to Data Cloud through the connector.
References:
Salesforce Marketing Cloud Documentation: Data Management
Salesforce Data Cloud Connector Guide
Question # 2
| A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting. Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas? | | A. The team member in the Pacific time zone. | | B. The team member in the Eastern time zone. | | C. Neither team member; Data Cloud shows all schedules in GMT. | | D. Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user |
D. Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user
Explanation: The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user’s local time zone. References:
Data Cloud Time Zones Change default time zones for Users and the organization Change your time zone settings in Salesforce, Google & Outlook DateTime field and Time Zone Settings in Salesforce
Question # 3
| Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO? | | A. Create the segment and then click Download to obtain the segment membership details to provide to NTO. | | B. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target. | | C. Create the segment, select Email as the activation target, and activate the segment di nearly to NTO. | | D. Create the segment and then activate the segment to NTO's Salesforce CRM. |
B. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.
Explanation: Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns. Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used. File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign. Process:
Define the segment criteria in Salesforce Data Cloud. Create a new file storage activation target.
Activate the segment to this target, which generates a downloadable file containing the segment membership details. References:
Salesforce Data Cloud Documentation: Segmentation Salesforce Data Cloud Activation
Question # 4
| Which two dependencies need to be removed prior to disconnecting a data source? Choose 2 answers | | A. Activation target | | B. Segment | | C. Activation | | D. Data stream |
B. Segment
D. Data stream
Explanation: Dependencies in Data Cloud:
Before disconnecting a data source, all dependencies must be removed to prevent data integrity issues. Reference: Salesforce Data Source Management Documentation
Identifying Dependencies: Segment: Segments using data from the source must be deleted or reassigned. Data Stream: The data stream must be disconnected, as it directly relies on the data source. Reference: Salesforce Segment and Data Stream Management Guide
Steps to Remove Dependencies:
Remove Segments:
Navigate to the Segmentation interface in Salesforce Data Cloud.
Identify and delete segments relying on the data source. Disconnect Data Stream:
Go to the Data Stream settings.
Locate and disconnect the data stream associated with the source. Reference: Salesforce Segment Deletion and Data Stream Disconnection Tutorial
Practical Application: Example: When preparing to disconnect a legacy CRM system, ensure all segments and data streams using its data are properly removed or migrated. Reference: Salesforce Data Source Disconnection Best Practices
Question # 5
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
| | A. Use the default primary key recommended by Data Cloud. | | B. Create a composite key by combining two or more source fields through a formula field. | | C. Select a field as a primary key and then add a key qualifier. | | D. Remove duplicates from the data source and then select a primary key. |
B. Create a composite key by combining two or more source fields through a formula field.
Explanation:
• Understanding Primary Keys in Salesforce Data Cloud:
A primary key is a unique identifier for records in a data source. It ensures that each record can be uniquely identified and accessed.
[Reference: Salesforce Primary Key Documentation,
• Challenges with Missing Primary Keys:, Some data sources may lack a natural primary key, making it difficult to uniquely identify records.,
Reference: Salesforce Data Integration Guide,
• Solution: Creating a Composite Key:,
Composite Key Definition: A composite key is created by combining two or more fields to generate a unique identifier.,
Formula Fields: Using a formula field, different fields can be concatenated to create a unique composite key.,
Example: If "Email" and "Phone Number" together uniquely identify a record, a formula field can concatenate these values to form a composite key.,
Reference: Salesforce Composite Key Creation Guide,
• Steps to Create a Composite Key:, Identify fields that, when combined, can uniquely identify each record., Create a formula field that concatenates these fields.,
Use this composite key as the primary key for the data source in Data Cloud., Reference: Salesforce Formula Field Documentation, ]
Question # 6
| A user has built a segment in Data Cloud and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual.
Which statement explains why these attributes are not available? | | A. The segment is not segmenting on profile data. | | B. The attributes are being used in another activation. | | C. The desired attributes reside on different related paths. | | D. Activations can only include 1-to-1 attributes. |
C. The desired attributes reside on different related paths.
Explanation:
The correct answer is C, the desired attributes reside on different related paths. When creating an activation in Data Cloud, you can select related attributes from data model objects that are linked to the segment entity. However, not all related attributes are available for every activation. The availability of related attributes depends on the container path, which is the sequence of data model objects that connects the segment entity to the related entity. For example, if you segment on the Unified Individual entity, you can select related attributes from the Order Product entity, but only if the container path is Unified Individual > Order > Order Product. If the container path is Unified Individual > Order Line Item > Order Product, then the related attributes from Order Product are not available for activation. This is because Data Cloud only supports one-to-many relationships for related attributes, and Order Line Item is a many-to-many junction object between Order and Order Product. Therefore, you need to ensure that the desired attributes reside on the same related path as the segment entity, and that the path does not include any many-to-many junction objects. The other options are incorrect because they do not explain why the related attributes are not available. The segment entity can be any data model object, not just profile data. The attributes are not restricted by being used in another activation. Activations can include one-to-many attributes, not just one-to-one attributes.
References:
Related Attributes in Activation
Considerations for Selecting Related Attributes Salesforce Launches: Data Cloud Consultant
Certification Create a Segment in Data Cloud
Question # 7
| Which two dependencies prevent a data stream from being deleted? Choose 2 answers | | A. The underlying data lake object is used in activation. | | B. The underlying data lake object is used in a data transform. | | C. The underlying data lake object is mapped to a data model object. | | D. The underlying data lake object is used in segmentation. |
B. The underlying data lake object is used in a data transform.
C. The underlying data lake object is mapped to a data model object.
Explanation:
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
Data transform: This is a process that transforms the ingested data into a
standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified2.
Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3.
References:
1: Delete a Data Stream article on Salesforce Help
2: [Data Transforms in Data Cloud] unit on Trailhead
3: [Data Model in Data Cloud] unit on Trailhead
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