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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Topic 1: Segmentation and Calculated Insights- Create and manage segments
- Explain calculated insights
Topic 2: Data Cloud Overview- Describe the Data Cloud ecosystem and how it fits into the Salesforce platform
- Explain the purpose and functionality of Data Cloud
Topic 3: Data Cloud Reporting and Analytics- Utilize Data Cloud reports and dashboards
Topic 4: Data Ingestion and Modeling- Explain data modeling concepts including Data Model Objects (DMOs)
- Describe data streams and data sources
Topic 5: Data Cloud Setup and Administration- Configure Data Cloud settings
- Manage Data Cloud permissions and security
Topic 6: Identity Resolution- Explain the purpose and configuration of Identity Resolution
- Describe matching and reconciliation rules
Topic 7: Activation- Describe activation use cases
- Configure activations to various targets

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q113-Q118):

NEW QUESTION # 113
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets.As far as connection limits are concerned, which platform is going to present a challenge?

Answer: A

Explanation:
This platform is going to present a challenge in terms of connection limits forData Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.
htm&type=5


NEW QUESTION # 114
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?

Answer: A

Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions


NEW QUESTION # 115
Which two statements about Data Cloud's Web and Mobile App connector are true?

Answer: B,D

Explanation:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


NEW QUESTION # 116
When can the data types be changed during ingestion?

Answer: D

Explanation:
Explanation
The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. References: Create a Data Source Object


NEW QUESTION # 117
An administrator is setting up a data stream with transactional data. What field type should the administrator choose to ensure that leading zeros in the purchase order number are preserved?

Answer: B

Explanation:
The Text field type should be chosen to preserve leading zeros in the purchase order number, as this field type stores alphanumeric characters as strings. The Number and Decimal field types store numeric values as numbers, which would remove any leading zeros. The Serial field type is not a valid field type in Data Cloud.
References: [Field Types]


NEW QUESTION # 118
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