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| Section | Objectives |
|---|---|
| Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| 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 |
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NEW QUESTION # 31
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?
Answer: C
Explanation:
The feature that the consultant should highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile is D. Identity Resolution. Identity Resolution is the process of identifying, matching, and reconciling data about individuals across different data sources and creating a unified profile that represents a single view of the customer. Identity Resolution uses various methods and rules to determine the best match and reconciliation of data, such as deterministic matching, probabilistic matching, reconciliation rules, and identity graphs. Identity Resolution enables the customer to have a complete and accurate understanding of their customers and their interactions across different channels and touchpoints. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution
NEW QUESTION # 32
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. References:https://help.salesforce.com/s/articleView?
NEW QUESTION # 33
Which of the following are characteristics of Formulas? (Choose 2)
Answer: A,B
Explanation:
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. Reference: Formulas
NEW QUESTION # 34
Which two statements are true about using consent API and exercising right to be forgotten?
Answer: A,C
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 that represent unique identities in Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 35
What are two benefits Data Cloud provides a company in relation to managing customer data?
Answer: A,B
Explanation:
These two benefits Data Cloud provides a company in relation to managing customer data. Unified Identity Resolution allows a company to link data from different sources and create a single view of each customer.
Data Harmonization allows a company to standardize and enrich data from different sources and improve data quality and usability. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_identity_resolution.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_harmonization.htm&type=5
NEW QUESTION # 36
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