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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Ingestion from various sources - Data validation and inspection - Data modeling best practices - Transformation and mapping |
| Topic 2: Act on Data | 18% | - Attribute usage and management - Troubleshooting activations - Process automation and triggering - Activation concepts and use cases |
| Topic 3: Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment creation and configuration - Segment membership analysis |
| Topic 4: Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data streams and data bundles - Permissions and access control - Data spaces and configuration - Monitoring and maintenance tools |
| Topic 6: Identity Resolution | 14% | - Matching and reconciliation rules - Conflict resolution - Unified profile creation - Identity use cases |
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NEW QUESTION # 147
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
Answer: B,D
Explanation:
These two remedies can help resolve the error "Segment references too many Data Lake Objects (DLOs)". Spacing out the segment schedules can reduce the concurrent load on the Data Lake Objects and improve performance. Splitting the segment into smaller segments can reduce the number of Data Lake Objects that are referenced by each segment. Reference: https://help.salesforce.com/s/articleView?
NEW QUESTION # 148
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:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 149
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
Answer: B
Explanation:
Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. References: Identity Resolution Reconciliation Rules
NEW QUESTION # 150
When performing Segmentation or Activation, which timezone is used to publish and refresh data?
Answer: D
Explanation:
According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.
NEW QUESTION # 151
To which Data Model entity should the Email field from a CRM Contact object be mapped?
Answer: D
Explanation:
The Email field from a CRM Contact object should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. Reference: [Contact Point Email Entity]
NEW QUESTION # 152
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