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Data Architecture and Management Designer Exam (Data Modelling (Custom…
Data Architecture and Management Designer Exam
Data Modelling
Custom Objects
Custom Fields
Master-Detail Relationship
Lookup Relationship
Page Layouts
Record types
Schema Builder
Metadata API
Person Accounts
External Objects
Picklists
Conceptual Design
Data Quality
Duplicate Records
Inconsistent Data
Incomplete Data
Lack of Usage
Inaccurate Data
Invalid Data
Dimensions
Age
Completeness
Usage
Accuracy
Consistency
Duplication
Improvement Tools
Workflow Rules
Approval Processes
Picklist Fields
Duplicate Management
Data.com
AppExchange Apps
Validation Rules|
Client Side Validation
Master Data Management
Implementation Styles
Registry
No Central Hub
Non-intrusive
Consolidation
Central Hub
Non-intrusive
Trusted source for reporting
Co-existence
Central Hub
Source systems master data
Transaction/Centralized
Central Hub
enhanced data published back to source systems
MDM Strategy
Surviving Records|
Accuracy
Frequency
Recency
Completeness
Survivorship Techniques
Trust Score
Decay
Validations
Precendence
Matching
Deterministic (Exact Match)
Probablistic (statistical approach)
Canonical Model
Standard data model along with translators
Hierarchy Management
Terms
System of Record
The most authoritative source for a piece of data
Golden/Single source of truth
Where the data is mastered
Metadata Management
Data Dictionary
ERD
Data Taxonomy
Data Lineage
Lifecycle
Data Classification
Capturing and Maintaining Metadata
Event Monitoring
Setup and Field Audit Trail
Field Audit Tracking - upto 60 fields - then use trigger and custom obj
Custom Settings
Custom Metadata Types
Data Archiving
Storing Field History Data
Field Audit Tracking - upto 60 fields - then use trigger and custom obj
Storing Summarized Data
Scheduling Exports
Data export & Deletion
Archiving and Purging Options
Archiving Process
Tier Based Strategy
AppExchange Solutions
Off-Platform Solutions
On-Platform Solutions
Backup & Restore Options
Bulk API 2.0 (doesn't count to API limits)
Big Objects
Heroku (via Heroku Connect)
Data Governance
Data Stewardship
Matching Rules
Duplicate Rules
Merging Records
Auto-Merge (App Exchange)
Relationship Considerations (Contacts Parents)
Data stewardship considerations (MetaData, Fields, Sharing Model)
Data Assessment, Planning and Implementation
Data Goverance
Policies
Standards
Guidelines
Procedures
Teams
Executive (Management Level - Steering Cmtee)
Strategic (Enterprise Level - Vice Presidents/Directors)
Tactical (Cross-Business Units - Directors and Managers)
Operational (Business Unit specific)
Solution
Rules and Definitions
Policies and Standards
Data Quality
Governance Roles
Data Assessment
Quality Control
Design a Plan
Data Definitions
Data Quality Standards
Quality Control Process
Roles & Ownership
Security & Permissions
Data Governance Models
Decentralised/Bottom Up
Small Company
Little to no sharing
Decentralised/Bottom Up (Cross-Functional)
Small Company
Some sharing
Needs controls
Centralised / Top-Down)
Large Company
Sharing
Central Governance Council - Data Maintenance
Hybrid
Large Company
Sharing
Central Governance Council = define policies
Users = Data Quality Maintenance
Data Migration
Bulk API
Parallel
Serial
Duplicate and Matching Rules
PK Chunking (SForce-Enable-PKChunking)
Set Audit Fields on Record Creation