Data Cloud Consultant Credential
The Salesforce Certified Data Cloud Consultant Credential is ideal for consultants who have experience implementing and consulting on enterprise data platforms in a customer-facing role, including designing, configuring, and architecting solutions. This exam guide prepares you for the Data Cloud Consultant Exam.
The Data Cloud Consultant meets maintainable and scalable customer business requirements, and contributes to a customer’s long-term success. Individuals who are interested in demonstrating competence with Data Cloud should pursue this certification.
Purpose of this Exam Guide
This exam guide is designed to help you evaluate if you are ready to successfully complete the Salesforce Certified Data Cloud Consultant exam. This guide provides information about the target audience for the certification exam, recommended training and documentation, and a complete list of exam objectives—all with the intent of helping you achieve a passing score. Salesforce highly recommends a combination of on-the-job experience, completion of the recommended training, and self-study to maximize your chances of passing the exam.
Audience Description
Candidates for the Salesforce Data Cloud Consultant Exam should have two or more years experience implementing and working with data strategy and data modeling, including building multiple solutions across Salesforce clouds. The target audience typically has experience in development, strategy, business analysis, presales solutioning, or architecture.
Salesforce Certified Data Cloud Consultant candidates have broad knowledge of Salesforce technology and specifically Data Cloud and its capabilities and terminology. Candidates also have experience positioning and implementing Data Cloud.
Salesforce Data Cloud Consultant Exam Summary:
| Exam Name | Salesforce Data Cloud Consultant |
| Exam Code | Data Cloud Consultant |
| Exam Price | Registration fee: USD 200 Retake fee: USD 100 |
| Duration | 105 minutes |
| Number of Questions | 60 |
| Passing Score | 62% |
| Recommended Training / Books | Prepare for Your Salesforce Certified Data Cloud Consultant Credential Discover Salesforce Data Cloud Fundamentals (SDC101) |
| Sample Questions | Salesforce Data Cloud Consultant Sample Questions |
| Recommended Practice | Salesforce Certified Data Cloud Consultant Practice Test |
Salesforce Data Cloud Consultant Syllabus:
| Section | Objectives | Weights |
| Solution Overview | - Describe Data Cloud’s function, key terminology, and business value. - Identify typical use cases for Data Cloud. - Articulate the Data Cloud lifecycle and its dependencies.. - Describe and apply the principles of data ethics. |
18% |
| Data Cloud Setup and Administration | - 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. |
12% |
| Data Ingestion and Modeling | - 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. |
20% |
| Identity Resolution | - 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. |
14% |
| Segmentation and Insights | - 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. |
18% |
| Act on Data | - 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. |
18% |
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