Salesforce Data 360 Consultant Certification Guide

Current study overview for the Salesforce Data 360 Consultant credential, verified against Salesforce's credential catalog on July 19, 2026.

Study illustration for Salesforce Data 360 Consultant Certification Guide

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 Cloud and 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 Resolution rules to reconcile duplicate records into a single Unified Individual.
  • You can configure data models using Data Model Objects (DMOs) and Data Lake Objects (DLOs) while maintaining harmonization.
  • You can transform raw engagement data into actionable business intelligence using Calculated Insights and Streaming Insights.
  • You can deploy data activations to Marketing Cloud, Sales Cloud, or external platforms via Data 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

  1. Master the fundamentals by completing the official Trailhead “Unlock Your Data with Data Cloud” trailmix to understand the “Zero-Copy” architecture.
  2. Review the documentation on the Cloud Information Model (CIM) to understand how standard objects like Individual and Engagement interact.
  3. 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.
  4. Focus on high-weight sections specifically Data Ingestion and Modeling and Segmentation, which represent nearly 40% of the total score.
  5. 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 Transforms and Streaming Data Transforms regarding when and how data is modified.
  • Data Categories: Pay close attention to whether a data stream should be categorized as Profile, Engagement, or Other, as this dictates how the system processes it.
  • Permission Sets: Know which specific permissions are required for the Data Cloud Salesforce Connector versus standard admin roles.

🔗 Resources – Official Salesforce Exam Guide


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.