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Salesforce Data Cloud Consultant Certification Course
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.27 GB | Duration: 5h 33m
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.
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.
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