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| Section | Objectives |
|---|---|
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Activation | - Describe activation use cases - Configure activations to various targets |
| Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
>> Salesforce-Data-Cloud Valid Exam Topics <<
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NEW QUESTION # 36
Which feature can integrate in real time with Salesforce CRM?
Answer: D
Explanation:
This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actionson Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5
NEW QUESTION # 37
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: D
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 # 38
Which two dependencies need to be removed prior to disconnecting a data source?
Choose 2 answers
Answer: B,C
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
NEW QUESTION # 39
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
Answer: A,B
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 loyalty programs 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 # 40
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?
Answer: C
Explanation:
Explanation:
NEW QUESTION # 41
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