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Salesforce Certified Marketing Cloud Engagement Consultant

MARKETING-CLOUD-ENGAGEMENT-CONSULTANTMarketing Cloud Engagement Consultant

The Salesforce Certified Marketing Cloud Engagement Consultant certification validates your ability to design, build, and implement marketing journeys and campaigns using Marketing Cloud Engagement. It is for marketers and consultants who translate business goals into effective, data-driven customer communications. Earning it proves you can deliver personalized, multi-channel marketing experiences that drive engagement and business results.

753 practice questions

10Domains
41Objectives
228Concepts
753Questions

MARKETING-CLOUD-ENGAGEMENT-CONSULTANT Curriculum

Every domain, objective, and concept the MARKETING-CLOUD-ENGAGEMENT-CONSULTANT exam measures.

  1. Branding and Creative Strategy Inventory
  2. Probing Techniques
  3. Gap Analysis in Branding Information
  4. Requirement Elicitation for Creative Assets
  5. Alignment with Marketing Objectives
  6. Recommendation Formulation
  1. External System Identification
  2. System Viability Assessment
  3. Integration Feasibility Analysis
  4. Goal Alignment Mapping
  5. Data Source Input Evaluation
  1. Requirement Gathering Techniques
  2. Data Requirements Analysis
  3. Segmentation Strategy Definition
  4. Frequency and Complexity Assessment
  5. Volume and Scalability Planning
  6. Data Source Inventory
  7. Data Quality and Governance
  8. Stakeholder Alignment
  9. Documentation of Strategy
  1. Subscriber Acquisition Analysis
  2. Subscriber Management Analysis
  3. Subscriber Attrition Analysis
  4. Solution Component Selection
  1. Identify Marketing Cloud roles
  2. Map skills to solution components
  3. Assess customer skill gaps
  4. Recommend enablement strategies

  1. List Model vs. Data Extensions
  2. Data Model Selection Criteria
  3. Data Relationships and Cardinality
  4. Data Extension Types
  5. Data Model Design for Marketing Objectives
  6. Data Governance and Compliance in Modeling
  1. Persona technical expertise assessment
  2. Automation Studio capabilities and use cases
  3. Journey Builder capabilities and use cases
  4. Tool selection criteria for given scenarios
  5. Integration of Automation Studio and Journey Builder
  1. Data Flow Diagram Components
  2. Narrative to Diagram Mapping
  3. Flow Direction and Sequence
  4. Data Transformation Points
  5. Data Storage and Retrieval
  6. Error and Exception Handling
  1. User Story Identification
  2. Access Requirements Analysis
  3. User Story Mapping to Access
  1. Scaling Architecture
  2. Data Volume and Storage
  3. Send Volume and Throughput
  4. Performance and Latency
  5. Cost Implications
  6. Compliance and Governance
  7. Operational Capacity
  8. Integration Complexity
  9. Future Growth and Flexibility
  1. Data Model Fundamentals
  2. Subscriber Key and Identity Resolution
  3. Data Extension Design for Personalization
  4. Dynamic Content and Personalization Strings
  5. Data-Driven Audience Segmentation
  6. Transactional vs. Marketing Messaging
  7. Data Governance and Privacy
  1. Purpose of IP Warming
  2. IP Warming Process
  3. Factors Influencing IP Warming Strategy
  4. Recommendation Based on Customer Needs

  1. Marketing Cloud Connect email sending overview
  2. Sending to contacts and leads
  3. Sending to campaigns
  4. Triggered sends via Marketing Cloud Connect
  5. Automated sends via Marketing Cloud Connect
  6. Reporting on email sends in Sales/Service Cloud
  1. Sales/Service Cloud Data Segmentation
  2. Synchronized Data Extensions
  3. Segmentation Using Salesforce Data
  4. Segmentation Using Activity Data
  5. Segmentation Using Relationship Data
  6. Segmentation Filters and Queries
  7. Data Extension Considerations

  1. Marketing Cloud Role Hierarchy
  2. Role-to-User Story Mapping
  3. Permission Sets and Access Levels
  4. Business Unit and Role Interaction
  5. Common Role Scenarios
  1. Business Unit Definition
  2. Publication Type Scenarios
  3. Demographic Segmentation Scenarios
  4. Workflow Process Scenarios
  5. Organizational Structure Scenarios
  6. Business Unit Decision Criteria
  1. RMM Configuration Troubleshooting
  2. Bounce Handling in RMM
  3. Auto-Reply Logic
  4. List and Send Classification
  5. RMM Data Views and Logs

  1. Data Views Access
  2. Tracking Extracts Access
  3. Data Views vs Tracking Extracts
  1. Definition of standard reports
  2. Definition of data views
  3. Definition of tracking extracts
  4. Comparison of data granularity
  5. Comparison of data accessibility
  6. Comparison of data retention
  7. Comparison of use cases
  1. Purpose of Send Logs
  2. Send Log Data Capture
  3. Creating a Send Log
  4. Managing Send Logs
  5. Send Log vs Other Tracking

  1. Data Extensions
  2. List Model
  3. Data Retention Model
  4. Publication Lists
  5. Suppression Lists
  1. Data Extension Data Types
  2. Data Retention Settings
  3. Data Extension Templates
  1. SQL SELECT basics
  2. JOIN operations
  3. Filtering with WHERE
  4. Sorting with ORDER BY
  5. Aggregation functions
  6. GROUP BY and HAVING
  7. Subqueries
  8. Data types and NULL handling
  9. Relational data model concepts
  1. Import methods overview
  2. Lists vs. Data Extensions
  3. Criteria for choosing import method
  4. Criteria for choosing lists or data extensions
  5. Import best practices
  1. Definition of Database of Record
  2. Implications for Data Management
  3. Impact on Integration and Synchronization
  4. Considerations for Marketing Cloud Engagement

  1. Workflow selection criteria
  2. Import workflows
  3. Segmentation workflows
  4. Email send workflows
  5. Combined workflow scenarios
  1. Definition of triggered interactions
  2. Definition of scheduled interactions
  3. Use cases for triggered interactions
  4. Use cases for scheduled interactions
  5. Comparison of delivery timing
  6. Comparison of audience targeting
  7. Comparison of setup and maintenance
  8. Comparison of performance and engagement

  1. Email Build Requirements Analysis
  2. Email Creation Steps
  3. Email Testing Procedures
  4. Email Deployment Process
  1. AMPscript basics
  2. Personalization strings
  3. Dynamic Content
  4. Guide Template Language (GTL)
  5. Comparing personalization methods
  1. SSJS vs AMPscript Overview
  2. SSJS Syntax and Usage
  3. AMPscript Syntax and Usage
  4. Choosing Between SSJS and AMPscript
  5. Dynamic Content Wizard Overview
  6. Dynamic Content Wizard vs AMPscript/LookupRows

  1. Role of Contact Builder
  2. Data Model Capabilities
  3. Integration with Data Sources
  4. Relationship Management
  5. Attribute and Identifier Management
  6. Use in Segmentation and Personalization
  1. Definition of cardinality
  2. Types of cardinality
  3. Impact on data model design
  4. Impact on data storage and retrieval
  5. Impact on segmentation and personalization
  6. Practical considerations for cardinality
  1. Data Designer overview
  2. Creating a data source
  3. Defining data source attributes
  4. Establishing relationships between data sources
  5. Incorporating data source into Contact Builder
  6. Managing data source updates
  1. Attribute Group Definition
  2. Attribute Group Components
  3. Creating an Attribute Group
  4. Adding Attributes
  5. Defining Relationships
  6. Configuring for Simple Interaction

  1. Purpose of Journey Builder
  2. Purpose of Automation Studio
  3. Event-driven vs. schedule-driven automation
  4. Data entry sources
  5. Interaction with contacts vs. data records
  6. Use case scenarios
  7. Integration and complementary use
  1. Evaluate Journey Builder Requirements
  2. Assess Journey Entry Conditions
  3. Design Journey Activities and Steps
  4. Evaluate Journey Configuration for Feasibility
  5. Identify Optimization Opportunities
  1. Entry Requirements
  2. Entry Methods Overview
  3. API Entry
  4. Audience Entry
  5. Data Entry Events
  6. Entry Mode and Re-entry
  7. Entry Source Configuration
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for MARKETING-CLOUD-ENGAGEMENT-CONSULTANT, so none is invented.