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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Salesforce Data Cloud Fundamentals- Data Cloud value and use cases
- Core concepts and architecture
Data Governance and Privacy- Data privacy and compliance concepts
- Security and data access controls
Identity Resolution and Unification- Unified customer profile concepts
- Identity resolution rules
Data Ingestion and Data Modeling- Data sources and ingestion methods
- Data model objects and harmonization
Segmentation and Activation- Segmentation logic and audience building
- Activation to Salesforce and external systems

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
Which data sources are available from Marketing Cloud as a starter bundle?

Answer: B

Explanation:
These data sources are available from Marketing Cloud as a starter bundle. Theyprovide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio


NEW QUESTION # 13
Which two dependencies need to be removed prior to disconnecting a data source?

Answer: A,D

Explanation:
These are thetwo dependencies that need to be removed prior to disconnecting a data source. A data stream is a process that ingests data from a data source into Data Cloud. A segment is a group of customers that meet certain criteria based on their data. If a data source is disconnected, any data streams or segments that depend on it will no longer function properly. References: [Data Sources], [Data Streams], [Segments]


NEW QUESTION # 14
Which three out-of-the-box connectors are available for Data Cloud?

Answer: A,D,E

Explanation:
These three out-of-the-box connectorsare available for Data Cloud. They allow you to ingest data from Marketing Cloud, B2C Commerce, or Amazon S3 into Data Cloud and map it to the Data Cloud data model.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_connectors.htm&type=5


NEW QUESTION # 15
Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.
As best practice, which sequence of actions should the consultant use to implement this request?

Answer: A

Explanation:
Initial Data Load: For loading large volumes of historical data, such as the last 90 days of runner profiles and activity logs, bulk ingestion is the most efficient method. It allows for high-throughput data transfer.
Bulk Ingestion: Use Salesforce Data Cloud's bulk ingestion tools to load the historical data quickly and efficiently.
Ongoing Data Synchronization: To keep the Data Cloud updated with new and modified records as they become available in the Track My Run mobile app, streaming ingestion is appropriate. It ensures near-real- time data updates.
Streaming Ingestion: Configure streaming ingestion to continuously update the Data Cloud with new and updated data from the mobile app.
Sequence of Actions:
Step 1: Perform bulk ingestion to import the last 90 days of historical data into Data Cloud.
Step 2: Set up streaming ingestion to handle ongoing updates and new data as it becomes available.
Best Practice: This approach ensures that the initial large data load is handled efficiently, and ongoing updates are processed in near real-time, providing the marketing department with the most up-to-date data.
References:
Salesforce Data Cloud Ingestion Methods
Salesforce Bulk Data Ingestion
Salesforce Streaming Data Ingestion


NEW QUESTION # 16
A customer wants to create segments ofusers based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?

Answer: C

Explanation:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally usethe calculated insight in segmentation. References: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]


NEW QUESTION # 17
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