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The Salesforce Customer-Data-Platform exam is intended for professionals who work with customer data, including marketers, data analysts, and IT professionals. It covers a range of topics, including data management, segmentation, targeting, and personalization. You will be tested on your ability to use Salesforce's CDP tools to create and manage customer profiles, analyze customer behavior, and create targeted campaigns that deliver personalized experiences.
Salesforce Customer-Data-Platform (CDP) Certification Exam is designed for professionals who have a strong understanding of Salesforce CDP and can demonstrate their ability to implement, configure, and manage customer data in a Salesforce CDP environment. Salesforce Customer Data Platform certification exam validates the knowledge of the candidates in the areas of data modeling, data management, data security, and data privacy. It also covers the integration of Salesforce CDP with other Salesforce products and third-party applications.
Salesforce Customer Data Platform (CDP) Exam is designed to assess an individual's knowledge and expertise in managing customer data using Salesforce's CDP technology. The CDP is a powerful tool that enables organizations to unify customer data from various sources, gain insights into customer behavior, and personalize customer experiences. Customer-Data-Platform exam is targeted towards professionals who are involved in managing customer data and want to demonstrate their proficiency in using Salesforce's CDP technology.
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Salesforce Customer-Data-Platform Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Cloud / CDP Fundamentals | - Salesforce Data Cloud architecture overview - Core concepts of Customer Data Platform |
| Data Governance and Privacy | - Consent management - Data compliance and privacy principles |
| Data Modeling and Identity Resolution | - Identity resolution rules and matching - Unified customer profiles - Data harmonization concepts |
| Data Ingestion and Integration | - Data sources and ingestion methods - Data mapping and transformation - Batch vs streaming data ingestion |
| Segmentation and Audience Building | - Segment creation and criteria - Activation-ready segments - Dynamic audiences |
| Data Activation and Use Cases | - Activation to Marketing Cloud and external systems - Use cases for personalization and engagement |
