
Study map for Salesforce Data 360 Consultant. Confirm objectives on current Salesforce sources.
Salesforce Data 360 Consultant
Catalog status checked July 19, 2026: Available.
Current credential snapshot
| Item | Current listing |
|---|---|
| Credential | Salesforce Data 360 Consultant |
| Track | Consultant |
| Level in source inventory | Mid |
| Exam code in source inventory | Data-Con-101 |
| Price in source inventory | $200 USD |
| Availability | Available |
Exam format, objectives, pricing, and prerequisites can change. Confirm those details in Salesforce’s current exam guide before purchasing or scheduling an exam.
Study overview
🌩️ Build a unified customer profile and act on data in real-time.Salesforce Certified Data Cloud Consultant
The definitive credential for architects and consultants designing scalable, enterprise-grade data strategies.
At a Glance
| Feature | Details |
|---|---|
| Exam Code | Data-Con-101 |
| Duration | 105 minutes |
| Questions | 60 scored, up to 5 unscored |
| Passing Score | 62% |
| Cost | $200 USD ($100 retake) |
| Delivery | Proctored (Online or Testing Center) |
| Prerequisites | None |
| Recommended Experience | 2+ years in data strategy and modeling |
🎯 Who Should Take This – Data Consultants: Professionals who implement enterprise data platforms and need to translate complex business requirements into technical configurations.
- Solution Architects: Technical leads responsible for designing the end-to-end data flow between Salesforce clouds and external systems.
- Business Analysts: Strategists focused on data ethics, identity resolution rules, and creating actionable segments for marketing teams.
- Presales Engineers: Experts who must demonstrate the business value of
Data Cloudand its integration capabilities during the sales cycle.
What You’ll Prove
This certification validates your ability to manage the entire data lifecycle within the Salesforce ecosystem. You aren’t just memorizing features; you are demonstrating that you can architect a system that unifies disparate data sources into a single, trusted source of truth. – You can architect data ingestion strategies from Amazon S3, Google Cloud Storage, and native Salesforce connectors.
- You can implement complex
Identity Resolutionrules to reconcile duplicate records into a singleUnified Individual. - You can configure data models using
Data Model Objects (DMOs)andData Lake Objects (DLOs)while maintaining harmonization. - You can transform raw engagement data into actionable business intelligence using
Calculated InsightsandStreaming Insights. - You can deploy data activations to
Marketing Cloud,Sales Cloud, or external platforms viaData Actions.
Exam Outline
| Domain | Weight | What’s Covered |
|---|---|---|
| Data Cloud Overview | 18% | Business value, data ethics, and core terminology. |
| Setup and Administration | 12% | Permissions, Data Spaces, and administrative monitoring tools. |
| Data Ingestion and Modeling | 20% | Data Streams, transformations, and mapping to the CIM. |
| Identity Resolution | 14% | Match rules, reconciliation rules, and unification results. |
| Segmentation and Insights | 18% | Creating segments, calculated vs. streaming insights. |
| Act on Data | 18% | Activations, Activation Targets, and troubleshooting. |
💡 In Notion, convert each domain row into a toggle to nest your study notes underneath.
Suggested Study Path
- Master the fundamentals by completing the official Trailhead “Unlock Your Data with Data Cloud” trailmix to understand the “Zero-Copy” architecture.
- Review the documentation on the
Cloud Information Model (CIM)to understand how standard objects likeIndividualandEngagementinteract. - Get hands-on in a Partner Learning Camp or developer sandbox to practice creating
Match Rules—theory alone won’t help when you’re looking at reconciliation logic. - Focus on high-weight sections specifically
Data Ingestion and ModelingandSegmentation, which represent nearly 40% of the total score. - Take practice exams from reputable sources to get comfortable with the multi-select question format and the 105-minute time pressure.
⚠️ Watch Out For – Reconciliation Logic: Don’t confuse Match Rules (finding the records) with Reconciliation Rules (deciding which record’s data wins).
- Transformation Timing: Understand the difference between
Batch TransformsandStreaming Data Transformsregarding when and how data is modified. - Data Categories: Pay close attention to whether a data stream should be categorized as
Profile,Engagement, orOther, as this dictates how the system processes it. - Permission Sets: Know which specific permissions are required for the
Data Cloud Salesforce Connectorversus standard admin roles.
🔗 Resources – Official Salesforce Exam Guide
- Trailmix: Prepare for Your Data Cloud Consultant Credential
- Salesforce Help: Data Cloud Documentation
- Salesforce Architects: Data Cloud Resource Center
Stop calling it a CDP; it’s a real-time data engine. Go pass this exam so you can finally explain to your clients why their data is currently a mess.
Official status sources
Catalog status last verified: 2026-07-19.