Salesforce Data Cloud Consultant Certification Guide

The Data Cloud Consultant Certification is s designed for consultants with significant experience in implementing and consulting on enterprise data platforms, particularly in customer-facing roles that involve designing, configuring, and architecting solutions. This guide is intended to prepare you for the Data Cloud Consultant Exam. A Data Cloud Consultant is responsible for ensuring that customer business requirements are met in a scalable and maintainable way, contributing to the long-term success of the customer. Individuals seeking to validate their expertise in Data Cloud should consider pursuing this certification.

Key Facts

The exam is made up of 60 multiple choice questions

105 minutes to complete

The passing score is 62%

There are no prerequisites

Cost is USD $200 and the retake fee is is USD $100 if you are unsuccessful

This information will assist you if you’re interested in becoming Data Cloud Consultant certified and includes an overview of the core topics in the exam.

There are 6 areas of knowledge that are covered by the Salesforce Data Cloud Consultant certification.

Objective

Weighting

Data Cloud Overview

18%

Data Cloud Setup and Administration

12%

Data Ingestion and Modeling

20%

Identity Resolution

14%

Segmentation and Insights

18%

Act on Data

18%

Data Cloud Consultant Topic Weighting Chart

Data Cloud Consultant
Certification Contents

The following are the core topic areas of the Data Cloud Consultant certification and what you’re expected to know:

Data Cloud Overview

This topic includes the following objectives:

  • 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.


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Data Cloud Setup and Administration

This topic includes the following objectives:

  • 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

This topic includes the following objectives:

  • Identify the different transformation capabilities within Data Cloud.


  • Describe processes and considerations for data ingestion from different sources into Data Cloud.


  • Use available tools to inspect and validate ingested and modeled data.
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Identity Resolution

This topic includes the following objectives:

  • 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.


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Segmentation and Insights

This topic includes the following objectives:

  • 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

This topic includes the following objectives:

  • 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.


To prepare successfully for the certification exam, we recommend to work through our

Data Cloud Consultant Practice Exams

Data Cloud Consultant

Practice Exams

Test yourself with complete practice exams or focus on a particular topic with the topic exams. Find out if you are ready for the exam.


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