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Salesforce Data-Con-101 Exam Syllabus Topics:

Topic
Details

Topic 1

• Data Cloud Overview: This domain covers the foundational understanding of Data Cloud including its core purpose, terminology, business value, and technical architecture. It also addresses typical use cases and the essential principles of ethical data handling when working with customer data.

Topic 2

• Identity Resolution: This domain explores creating unified customer profiles through matching and reconciliation processes. It covers how rule sets determine when records link together, how conflicting data is resolved, and understanding the outcomes and use cases of unified identities.

Topic 3

• Data Ingestion and Modeling: This domain addresses bringing data into Data Cloud and structuring it properly through transformation, ingestion from various sources, and data mapping. It emphasizes best practices for modeling data to support identity resolution and validating ingested data using available tools.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q134-Q139):

NEW QUESTION # 134
Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?

• A. Confirm the Ingest Object permission is enabled in the Salesforce CRM org.
• B. Confirm the Create object permission is enabled in the Data Cloud org.
• C. Confirm that the Modify Object permission is enabled in the Data Cloud org.
• D. Confirm the View All object permission is enabled in the source Salesforce CRM org.

Answer: D

Explanation:
To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm that the View All object permission is enabled in the source Salesforce CRM org. This permission allows the user to view all records associated with the object, regardless of sharing settings1. Without this permission, the custom object will not be available in the New Data Stream configuration2. References:
Manage Access with Data Cloud Permission Sets
Object Permissions

NEW QUESTION # 135
Which statement about Data Cloud's Web and Mobile Application Connector is true?

• A. The connector schema can be updated to delete an existing field.
• B. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
• C. The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.
• D. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.

Answer: C

Explanation:
The Web and Mobile Application Connector allows you to ingest data from your websites and mobile apps into Data Cloud. To use this connector, you need to set up a Tenant Specific Endpoint (TSE) in Data Cloud, which is a unique URL that identifies your Data Cloud org. The TSE is auto-generated when you create a connector app in Data Cloud Setup. You can then use the TSE to configure the SDKs for your websites and mobile apps, which will send data to Data Cloud through the TSE. References: Web and Mobile Application Connector, Connect Your Websites and Mobile Apps, Create a Web or Mobile App Data Stream

NEW QUESTION # 136
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers

• A. Use the Consent API to suppress processing and delete the Individual and related records fromsource data streams.
• B. Use Data Explorer to locate and manually remove the Individual.
• C. Delete the data from the incoming data stream and perform a full refresh.
• D. Add the Individual ID to a headerless file and use the delete from file functionality.

Answer: A,D

Explanation:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
Delete Individuals from Data Cloud
Requesting Data Deletion or Right to Be Forgotten
Data Refresh for Data Cloud
[Data Explorer]

NEW QUESTION # 137
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?

• A. Place an attribute for the "black" calculated insight to dynamically apply
• B. Place the attribute for product color in one container and the attribute for product type in another container.
• C. Place the attributes for product and product type as direct attributes.
• D. Place the attributes for product color and product type in a single container.

Answer: D

Explanation:
To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the "black" calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data. References:
Create a Segment in Data Cloud
Learn About Segmentation Tools
Salesforce Launches: Data Cloud Consultant Certification

NEW QUESTION # 138
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 attributes are being used in another activation.
• B. Activations can only include 1-to-1 attributes.
• C. The segment is not segmenting on profile data.
• D. The desired attributes reside on different related paths.

Answer: D

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

NEW QUESTION # 139
......

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