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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionWeightObjectives
Data Cloud Overview18%- Core concepts and terminology
- Architecture and ecosystem
- Business value and use cases
Data Ingestion and Modeling20%- Ingestion from various sources
- Transformation and mapping
- Data modeling best practices
- Data validation and inspection
Act on Data18%- Process automation and triggering
- Troubleshooting activations
- Attribute usage and management
- Activation concepts and use cases
Identity Resolution14%- Identity use cases
- Conflict resolution
- Matching and reconciliation rules
- Unified profile creation
Data Cloud Setup and Administration12%- Permissions and access control
- Data streams and data bundles
- Data spaces and configuration
- Monitoring and maintenance tools
Segmentation and Insights18%- Segment membership analysis
- Calculated vs streaming insights
- Insight implementation
- Segment creation and configuration

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
An administrator is setting up a data stream with transactional dat
a. 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. Reference: [Field Types]


NEW QUESTION # 82
A user has built a segment in Data Cloud and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual.
Which statement explains why these attributes are not available?

Answer: B

Explanation:
The correct answer is C, the desired attributes reside on different related paths. When creating an activation in Data Cloud, you can select related attributes from data model objects that are linked to the segment entity.
However, not all related attributes are available for every activation. The availability of related attributes depends on the container path, which is the sequence of data model objects that connects the segment entity to the related entity. For example, if you segment on the Unified Individual entity, you can select related attributes from the Order Product entity, but only if the container path is Unified Individual > Order > Order Product. If the container path is Unified Individual > Order Line Item > Order Product, then the related attributes from Order Product are not available for activation. This is because Data Cloud only supports one- to-many relationships for related attributes, and Order Line Item is a many-to-many junction object between Order and Order Product. Therefore, you need to ensure that the desired attributes reside on the same related path as the segment entity, and that the path does not include any many-to-many junction objects. The other options are incorrect because they do not explain why the related attributes are not available. The segment entity can be any data model object, not just profile data. The attributes are not restricted by being used in another activation. Activations can include one-to-many attributes, not just one-to-one attributes. References:
Related Attributes in Activation
Considerations for Selecting Related Attributes
Salesforce Launches: Data Cloud Consultant Certification
Create a Segment in Data Cloud


NEW QUESTION # 83
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?

Answer: B

Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate data from real-time streams using window functions. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5


NEW QUESTION # 84
What are the two distinct phases of data model management in Data Cloud?

Answer: B,C

Explanation:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5


NEW QUESTION # 85
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: B

Explanation:
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 # 86
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