Salesforce Certified Data Cloud Consultant Exam Guide
About the Salesforce Certified Data Cloud Consultant Credential
The Salesforce Certified Data Cloud Consultant Credential is designed for consultants with experience working on enterprise data platforms in a customer-facing role, focusing on designing, configuring, and architecting solutions. This exam guide helps you prepare for the Data Cloud Consultant Exam.
The Data Cloud Consultant addresses customer business needs with maintainable and scalable solutions, contributing to their long-term success. Those interested in showcasing their expertise with Data Cloud should consider pursuing this certification.
Audience Description: Salesforce Certified Data Cloud Consultant
Candidates for the Salesforce Data Cloud Consultant Exam should have at least two years of experience in data strategy and data modeling, with a track record of building solutions across various Salesforce clouds. The ideal candidates have backgrounds in development, strategy, business analysis, presales solutioning, or architecture.
Salesforce Certified Data Cloud Consultant candidates possess a strong understanding of Salesforce technology, particularly Data Cloud, along with its features and terminology. They also have experience in effectively positioning and implementing Data Cloud solutions.
Purpose of This Exam Guide
This exam guide is designed to help you assess your readiness for the Salesforce Certified Data Cloud Consultant exam. It includes details about the target audience, recommended training, and documentation, as well as a full list of exam objectives to support you in achieving a passing score. Salesforce strongly suggests combining hands-on experience, recommended training, and self-study to increase your chances of successfully passing the exam.
About the Exam
Here are the details for the Salesforce Certified Data Cloud Consultant Exam:
- Format: 60 multiple-choice/multiple-select questions, with up to five unscored questions
- Time: 105 minutes to complete
- Passing Score: 62%
- Registration Fee: USD 200, plus applicable local taxes
- Retake Fee: USD 100, plus applicable local taxes
- Delivery: Proctored exam available at a testing center or online; check scheduling details for more information
- References: No hard-copy or online materials allowed during the exam
- Prerequisite: None
Recommended Training and References
To prepare for this exam, we suggest a combination of hands-on experience, completing relevant training courses, exploring Trailhead trails, and self-study focused on the topics listed in the Exam Outline section of this guide.
Recommended self-study materials for this exam include:
Exam Outline
The 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.