Solution Positioning14% of the exam
Data 360 terminology, data model and value
The core Data 360 vocabulary from data stream to activation, the Customer 360 Data Model terms (subject area, DMO, attribute, primary and foreign key), and how a consultant proves value with use-case KPIs, ROI math and consumption-based credit pricing.
Describe Data 360's key terminology and business value.
~8 min read · 13 practice questions ·
What the exam expects
- Name the Data 360 component that does a given job, from data stream to activation.
- Explain why sources are mapped to the standard Customer 360 Data Model, and use its terms (subject area, DMO, attribute, primary key, foreign key) correctly.
- Map a stakeholder pain point to the capability that solves it.
- Pick the KPI that fits a use case and calculate win rate, case resolution time and segmentation ROI the recommended way.
- Explain consumption-based (credit) pricing and what to do about it before implementation.
Key terms: data stream connects a source and ingests its data; data lake object (DLO) holds ingested data; data model object (DMO) is the harmonized object a DLO maps to; unified profile is identity resolution's key ring of source records; credits are Data 360's prepaid consumption units.
Key facts
Data stream
- Detail
- The connection and associated data ingested into Data 360
Required DMOs
- Detail
- Individual, Party Identification, Contact Point Email, Phone and Address
Primary vs foreign key
- Detail
- Primary: one instance per data set; foreign: common link like customer ID
Unified profile
- Detail
- A key ring of source records; identity resolution picks no winning values
Win rate
- Detail
- Won / (won + lost) x 100; open deals excluded
Automation ROI
- Detail
- (Time saved x hourly rate x cycles) - setup cost
Pricing model
- Detail
- Prepaid credits tied to volume, speed, features and storage; tracked in Digital Wallet
Segmentation metrics
- Detail
- Email open rates, return on advertising spend, marketing lead revenue, engagement
Data spaces and residency
- Detail
- Control what users access, not where data is stored
Sources for this section (6)
- Data Streams in Data 360help.salesforce.com (opens in a new tab)
- Get to Know Data Model Objectstrailhead.salesforce.com (opens in a new tab)
- About Identity Resolutionhelp.salesforce.com (opens in a new tab)
- Justify Your Investment in Data 360trailhead.salesforce.com (opens in a new tab)
- Measure the Value of Data 360trailhead.salesforce.com (opens in a new tab)
- Govern and Secure Your Datatrailhead.salesforce.com (opens in a new tab)
- Which component connects an external database to Data 360?
- Why does a consultant map every source to standard DMOs instead of keeping native schemas?
- When should KPIs for a Data 360 use case be defined?
- Why is a unified profile not a golden record?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the Data 360 Consultant pack
- Core concepts
- Exam traps
- Worked scenario
The pack includes:
- All 22 lessons of the Data 360 Consultant guide, with reading progress
- Interactive decision walks and step-by-step sequence steppers
- Inline practice questions and one-click topic practice (13 questions for this lesson)
- An official source cited for every claim
- An AI tutor that answers from the guide
- Unlimited timed practice exams