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Prepare for the Salesforce Data Cloud Consultant Exam

سرفصل های دوره

Understand Salesforce Data Cloud & Prepare/Learn to Pass the Data Cloud Consultant Certification Exam


1 - Introduction
  • 1 - Welcome to the Course
  • 2 - Who This Course is For
  • 3 - About the Instructor
  • 4 - Course Overview
  • 5 - Study Tips

  • 2 - Solution Overview 18
  • 6 - Data-Cloud-Glossary.pdf
  • 6 - Introduction to Solution Overview
  • 7 - Describe Data Clouds Function Key Terminology and Business Value
  • 8 - Identify typical use cases for Data Cloud
  • 9 - Articulate the Data Cloud lifecycle and its dependencies
  • 10 - Describe and apply the principles of data ethics

  • 3 - Data Cloud Setup Administration
  • 11 - Introduction to Data Cloud Setup Administration
  • 12 - Apply Data Cloud permissions permission sets and orgwide settings
  • 13 - Describe and configure the available data stream types and data bundles
  • 14 - Identify use cases for data spaces and create data spaces based on requirements
  • 15 - Manage administer Data Cloud using reports dashboards flows packaging
  • 16 - Diagnose and explore data using Data Explorer Profile Explorer and APIs

  • 4 - Data Ingestion Modeling
  • 17 - Introduction to Data Ingestion Modeling
  • 18 - Identify the different transformation capabilities within Data Cloud
  • 19 - Describe processes and considerations for data ingestion from different sources
  • 20 - Define map and model data using best practices and aligning to requirements
  • 21 - Use available tools to inspect and validate ingested and modeled data

  • 5 - Identity Resolution
  • 22 - Introduction to Identity Resolution
  • 23 - Describe matching and how its rule sets are applied
  • 24 - Reconcile data and describe how its rule sets are applied
  • 25 - Describe the results of identify resolution and use cases

  • 6 - Segmentation Insights
  • 26 - Introduction to Segmentation and Insights
  • 27 - Define basic concepts of segmentation and use cases
  • 28 - Identify scenarios for analyzing segment membership
  • 29 - Configure refine and maintain segments within Data Cloud
  • 30 - Identify and differentiate between calculated and streaming insights

  • 7 - Act on Data
  • 31 - Introduction to Act on Data
  • 32 - Define activations and their basic use cases
  • 33 - Use attributes and related attributes
  • 34 - Identify and analyze timing dependencies affecting the Data Cloud lifecycle
  • 35 - Troubleshoot common problems with activations including acceptedrejected counts
  • 36 - Use data actions and identifytheir requirements and intended use cases

  • 8 - Final Thoughts
  • 37 - Thank You
  • 38 - Join the Club

  • 9 - Bonus Practice Exam
  • 1 - Practice Quiz.html
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    تاریخ انتشار: ۲۸ آذر ۱۴۰۲
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