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| Section | Objectives |
|---|---|
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Data Ingestion and Data Modeling | - Data model objects and harmonization - Data sources and ingestion methods |
| Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
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NEW QUESTION # 72
Which two statements are true about using consent API and exercising right to be forgotten?
Answer: A,D
Explanation:
Explanation
These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure that any new data related to the individual is deleted.
Data deletion requests are submitted for individual profiles thatrepresent unique identities in Data Cloud.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 73
Every day, Northern Trail Outfitters (NTO) uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than 7 days are automatically deleted. Each file contains a timestamp in a standardized naming convention. What should a consultant consider when ingesting this data stream?
Answer: C
Explanation:
This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 74
What does it mean to build a trust-based, first-party data asset?
Answer: D
Explanation:
This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. References: https://www.salesforce.com/products/genie/overview/
NEW QUESTION # 75
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: B
Explanation:
This platform is going to present a challenge in terms of connection limits for Data 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 # 76
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?
Answer: B
Explanation:
When setting up Data Cloud for a multi-brand organization, if a consultant cannot map an object for one of the brands during data stream setup, they should navigate to the Data Space tab and select the object to include it in the new data space. Here's why:
Understanding the Issue
The consultant is using data spaces to segregate data for different brands.
While mapping a data stream, they notice that an object is unavailable for one of the brands.
This indicates that the object has not been associated with the new data space.
Why Navigate to the Data Space Tab?
Data Spaces and Object Availability :
Objects must be explicitly added to a data space before they can be used in mappings or transformations within that space.
If an object is missing, it means it has not been included in the data space configuration.
Solution Approach :
By navigating to the Data Space tab , the consultant can add the required object to the new data space.
This ensures the object becomes available for mapping and use in the data stream.
Steps to Resolve the Issue
Step 1: Navigate to the Data Space Tab
Go to Data Cloud > Data Spaces and locate the new data space for the brand.
Step 2: Add the Missing Object
Select the data space and click on Edit .
Add the required object (e.g., a Data Model Object or Data Lake Object) to the data space.
Step 3: Save and Verify
Save the changes and return to the data stream setup.
Verify that the object is now available for mapping.
Step 4: Complete the Mapping
Proceed with mapping the object in the data stream.
Why Not Other Options?
A). Create a new data stream and map the second data stream to the data space :Creating a new data stream is unnecessary if the issue is simply object availability in the data space.
B). Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space :This is overly complex and not required if the object can simply be added to the data space.
C). Create a batch transform to split data between different data spaces :Batch transforms are used for data processing, not for resolving object availability issues.
Conclusion
The correct solution is to navigate to the Data Space tab and select the object to include it in the new data space . This ensures the object is available for mapping and resolves the issue efficiently.
NEW QUESTION # 77
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