Salesforce Data Cloud Consultant Certification Course

Pass your Salesforce Data Cloud Consultant Certification with this course. Build mini projects in Data Cloud.

What you'll learn

They will learn all the topics from the Data Cloud Study guide and will be able to pass the exam

They will see the practical implementation of Data Cloud

They will have practice tests to test their knowledge.

They will build mini projects to gain in depth and practical knowledge on Data Cloud.

Requirements

You should be familiar with out of the box features of salesforce.

No Programming experience is needed to take this course.

Willingness to learn and an internet connection is needed.

Description

Master the Salesforce Data Cloud Consultant CertificationYour Path to Becoming a Certified Salesforce Data Cloud Consultant Starts Here!Are you ready to accelerate your Salesforce career and become a Salesforce Data Cloud Consultant? This comprehensive preparation course is designed to help you master the skills, knowledge, and strategies needed to pass the certification exam with confidence.Exam OutlineThe Salesforce Data Cloud Consultant exam measures a candidate’s knowledge and skills related to the following objectives. Candidates should have knowledge and expertise in each of the areas below.Data Cloud Overview: 18%Describe Data Cloud’s function, key terminology, and business value.Identify typical use cases for Data Cloud.Articulate how Data Cloud works and its dependencies.Describe and apply the principles of data ethics.Data Cloud Setup and Administration: 12%Apply Data Cloud permissions, permission sets, and org-wide settings.Describe and configure the available data stream types and data bundles.Identify use cases for data spaces and create data spaces based on requirements.Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.Data Ingestion and Modeling: 20%Identify the different transformation capabilities within Data Cloud.Describe processes and considerations for data ingestion from different sources into Data Cloud.Define, map, and model data using best practices and aligning to requirements for identity resolution.Use available tools to inspect and validate ingested and modeled data.Identity Resolution: 14%Describe matching and how its rule sets are applied.Reconcile data and describe how its rule sets are applied.Describe the results of identify resolution and use cases.Segmentation and Insights: 18%Define basic concepts of segmentation and use cases.Identify scenarios for analyzing segment membership.Configure, refine, and maintain segments within Data Cloud.Identify and differentiate between calculated and streaming insights.Act on Data: 18%Define activations and their basic use cases.Use attributes and related attributes.Identify and analyze timing dependencies affecting the Data Cloud lifecycle.Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.Use data actions and identify their requirements and intended use cases.Who Is This Course For?Salesforce professionals looking to enhance their expertise in Salesforce Data Cloud.Data architects, consultants, and administrators aiming to refine their skills.Individuals preparing for the Salesforce Certified Data Cloud Consultant exam.Professionals seeking to improve data management, integration, and analytics within Salesforce.Beginners interested in specializing in data solutions and cloud technologies.

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction

Section 2: Data Cloud Overview (18%)

Lecture 2 What Is Data Cloud and its Benefits ?

Lecture 3 What are the use cases of Data Cloud ?

Lecture 4 Data Cloud Lifecycle

Lecture 5 Provisioning Data Cloud

Section 3: Data Cloud Setup and Administration (12%)

Lecture 6 Overview of the Project

Lecture 7 Create New Yahoo Email Account

Lecture 8 Data Cloud Tenant Endpoint

Lecture 9 Load Data into Contact Object

Lecture 10 Overview of the Data Cloud App

Lecture 11 What is Data Stream

Lecture 12 How to Create New Data Stream

Lecture 13 What is Data Normalization ?

Section 4: Data Ingestion and Modeling (20%)

Lecture 14 What are DSO, DLO and DMO (Data Source Object, Data lake Object and Data Model

Lecture 15 What are Data Spaces

Lecture 16 Data Explorer and Query Editor

Lecture 17 Create New Amazon S3 account to upload Reservation and Contact Records

Lecture 18 Upload Files in Amazon S3

Lecture 19 Create Connection between Amazon S3 and Data Cloud

Lecture 20 Create Data Stream to bring Reservation Data from Amazon S3

Lecture 21 Mapping Reservation DLO to Reservation DMO

Section 5: Quiz

Section 6: Identity Resolution (14%)

Lecture 22 Identity Resolution

Lecture 23 What Are Matching Rules

Lecture 24 How to create Matching Rules

Lecture 25 What is Unified Individual and Unified Individual Link

Lecture 26 Ran the Identity Resolution Ruleset

Lecture 27 What is Consolidation Rate and How to calculate Consolidation rate ?

Lecture 28 What are Reconciliation Rules ?

Lecture 29 Ignore Empty Value

Section 7: Quiz

Section 8: Segmentation and Insights (18%)

Lecture 30 Calculated Insights and Streaming Insights

Lecture 31 How to create Calculated Insights

Lecture 32 Check Data Inside Calculated Insights using Data Explorer

Lecture 33 What are Segments

Lecture 34 How to Create Segment ?

Lecture 35 Segmentation Operators in Data Cloud

Lecture 36 Include and Exclude Segment

Lecture 37 Important point about insights

Section 9: Quiz

Section 10: Act on Data

Lecture 38 Activation and Activation Target

Lecture 39 How to Create Activation and Activation Target

Lecture 40 File Sent to Amazon s3

Lecture 41 DLO to DLO transform

Lecture 42 Populate Contact DLO with Phone numbers

Lecture 43 Create New Target DLO

Lecture 44 DLO to DLO transform Part 1

Lecture 45 DLO to DLO transform Part 2

Lecture 46 Ingestion API

Lecture 47 How to Create Ingestion API

Lecture 48 How to create Connected App

Lecture 49 Postman Collection to Insert Data

Lecture 50 Check the Data Inside Data Lake Object

Lecture 51 Query API

Lecture 52 Data Cloud One

Lecture 53 Enable Value Suggestion

Lecture 54 Important Point

Lecture 55 Data Action and Data Action Target

Lecture 56 Important Point

Lecture 57 How to create Data Action and Data Action Target

Lecture 58 Install Streaming Monitor

Lecture 59 Insert Record via Postman

Lecture 60 Create a Platform Triggered Flow

Lecture 61 Check the Streaming Monitor

Section 11: Quiz

Salesforce professionals looking to enhance their expertise in Salesforce Data Cloud.,Data architects, consultants, and administrators aiming to refine their skills.,Individuals preparing for the Salesforce Certified Data Cloud Consultant exam.,Professionals seeking to improve data management, integration, and analytics within Salesforce.,Beginners interested in specializing in data solutions and cloud technologies.