Prepare for the Salesforce Data Cloud Accredited Professional Exam exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Salesforce-Data-Cloud exam and achieve success.
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?
What are two benefits Data Cloud provides a company in relation to managing customer data?
What is the correct formula to display the value of the raw data column of "RetailPrice' plus an additional 5 percent?
This is the correct formula to display the value of the raw data column of ''RetailPrice'' plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by 1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. Reference: [Formula Editor], [sourceField Function]
Which two characteristics describe the Customer 360 data model?
The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications. Reference: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]
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