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| Section | Objectives |
|---|---|
| Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Activation | - Describe activation use cases - Configure activations to various targets |
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
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NEW QUESTION # 126
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?
Answer: D
Explanation:
Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5
NEW QUESTION # 127
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
Answer: C
Explanation:
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target
NEW QUESTION # 128
Which two statements about Data Cloud's Web and Mobile App connector are true?
Answer: A,C
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5
NEW QUESTION # 129
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?
Answer: B,C
Explanation:
These two options are recommended ways to bring transactional data from adata warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_google_cloud_storage.htm&type=5https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 130
A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?
Answer: A
Explanation:
Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly. References: Batch Transforms, Create a Batch Transform
NEW QUESTION # 131
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