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| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Modeling | 20% | - Ingestion from various sources - Transformation and mapping - Data modeling best practices - Data validation and inspection |
| Act on Data | 18% | - Troubleshooting activations - Process automation and triggering - Attribute usage and management - Activation concepts and use cases |
| Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment creation and configuration - Segment membership analysis |
| Data Cloud Overview | 18% | - Core concepts and terminology - Business value and use cases - Architecture and ecosystem |
| Identity Resolution | 14% | - Matching and reconciliation rules - Conflict resolution - Unified profile creation - Identity use cases |
| Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools - Permissions and access control |
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NEW QUESTION # 99
Which two statements are true about using consent API and exercising right to be forgotten?
Answer: A,C
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 # 100
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
Answer: C,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 # 101
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
Answer: D
Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations
NEW QUESTION # 102
What is the maximum limit of the number of records for Full Refresh Extract Method?
Answer: C
Explanation:
Explanation
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. References: Extract Methods
NEW QUESTION # 103
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
Answer: C
Explanation:
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. Reference: Create Custom Match Criteria
NEW QUESTION # 104
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