Prepare For The Salesforce Data Cloud Consultant Exam

What you'll learn
Understand the Solution Overview of Data Cloud
Understand How to Setup and Administer Data Cloud
Understand Data Ingestion & Modeling in Data Cloud
Understand Identity Resolution in Data Cloud
Understand Segmentation and Insights in Data Cloud
Understand how to Act on Data in Data Cloud
Requirements
there are no prereqs for this course
Description
Welcome to the Salesforce Data Cloud Consultant Certification course. In this course, I prepare you to pass the Salesforce Data Cloud Consultant certification. I focus on the most important information, but still suggest that you get your hands on Data Cloud for a complete understanding of the product. Course Content Includes:[Data Cloud] Solution Overview 18%This includes a description of Data Cloud's function, key terminology, and business valueData Cloud Administration & Setup 12%This includes discussions on permission sets and provisioningData Ingestion & Modeling 20%This includes discussing the processes and considerations for data ingestion from different sourcesIdentity Resolution 14%This includes the difference between match rules and reconciliation rulesSegmentation & Insights 18%This includes the step-by-step process of how to create segments in Data CloudAct on Data 18%This includes information about activations in Data CloudThis exam and certification is for those who already have a baseline understanding of Salesforce or who are marketing or data management professionals. This is not an entry level certification. Please note that I do not work for Salesforce directly and have put together these lessons on my own accord. However, there are definitions, examples, and graphics from Salesforce resources.This course will take you around 1 hour to get through and will help you study for the exam. It is as concise as possible given the complexity of the Data Cloud product.
Overview
Section 1: Introduction
Lecture 1 Welcome to the Course
Lecture 2 Who This Course is For
Lecture 3 About the Instructor
Lecture 4 Course Overview
Lecture 5 Study Tips
Section 2: Solution Overview - 18%
Lecture 6 Introduction to Solution Overview
Lecture 7 Describe Data Cloud's Function, Key Terminology, and Business Value
Lecture 8 Identify typical use cases for Data Cloud.
Lecture 9 Articulate the Data Cloud lifecycle and its dependencies.
Lecture 10 Describe and apply the principles of data ethics.
Section 3: Data Cloud Setup & Administration
Lecture 11 Introduction to Data Cloud Setup & Administration
Lecture 12 Apply Data Cloud permissions, permission sets, and org-wide settings
Lecture 13 Describe and configure the available data stream types and data bundles
Lecture 14 Identify use cases for data spaces and create data spaces based on requirements
Lecture 15 Manage & administer Data Cloud using reports, dashboards, flows, packaging, ...
Lecture 16 Diagnose and explore data using Data Explorer, Profile Explorer, and APIs
Section 4: Data Ingestion & Modeling
Lecture 17 Introduction to Data Ingestion & Modeling
Lecture 18 Identify the different transformation capabilities within Data Cloud
Lecture 19 Describe processes and considerations for data ingestion from different sources
Lecture 20 Define, map, and model data using best practices and aligning to requirements...
Lecture 21 Use available tools to inspect and validate ingested and modeled data
Section 5: Identity Resolution
Lecture 22 Introduction to Identity Resolution
Lecture 23 Describe matching and how its rule sets are applied
Lecture 24 Reconcile data and describe how its rule sets are applied
Lecture 25 Describe the results of identify resolution and use cases
Section 6: Segmentation & Insights
Lecture 26 Introduction to Segmentation and Insights
Lecture 27 Define basic concepts of segmentation and use cases
Lecture 28 Identify scenarios for analyzing segment membership
Lecture 29 Configure, refine, and maintain segments within Data Cloud
Lecture 30 Identify and differentiate between calculated and streaming insights
Section 7: Act on Data
Lecture 31 Introduction to Act on Data
Lecture 32 Define activations and their basic use cases
Lecture 33 Use attributes and related attributes
Lecture 34 Identify and analyze timing dependencies affecting the Data Cloud lifecycle
Lecture 35 Troubleshoot common problems with activations including accepted/rejected counts
Lecture 36 Use data actions and identify their requirements and intended use cases
Section 8: Final Thoughts
Lecture 37 Thank You
Lecture 38 Join the Club!
Section 9: Bonus: Practice Exam
It is highly recommended that you already have a fundamental understanding of Salesforce Products


Homepage

https://www.udemy.com/course/prepare-for-the-salesforce-data-cloud-consultant-exam/