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Hyperautomation Dev (Hyperautomation-Developer)
The Salesforce Certified Hyperautomation Developer exam validates expertise in Flow Builder Advanced, MuleSoft Composer, Einstein Bots, Einstein AI, and RPA, enabling professionals to design, implement, and optimize intelligent end‑to‑end automation solutions within the Salesforce ecosystem.
105
Minutes
60
Questions
63/100
Passing Score
$200
Exam Cost
Who Should Take This
Mid‑level administrators, developers, or solution architects who already work with Salesforce and seek to expand their skill set into intelligent process automation should pursue this certification. It targets individuals with 2–4 years of platform experience aiming to lead hyperautomation projects and integrate AI‑driven workflows across cloud services.
What's Covered
1
Domain 1: Flow Builder Advanced
2
Domain 2: MuleSoft Composer
3
Domain 3: Einstein Bots
4
Domain 4: Einstein AI
5
Domain 5: RPA
6
Domain 6: Document Processing
7
Domain 7: Orchestration
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
65 learning goals
1
Domain 1: Flow Builder Advanced
2 topics
Advanced Flows
- Identify advanced Flow Builder patterns including subflows, invocable actions, and orchestration flows for complex automation
- Implement advanced flow architectures with error handling, transaction management, and cross-object operations for reliable automation
- Analyze flow performance evaluating interview limits, DML optimization, and asynchronous patterns for high-volume process automation
- Describe advanced flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Apply advanced flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Evaluate advanced flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Platform Events in Flows
- Identify platform event integration in flows including event publishing, subscription, and triggered flow processing for event-driven automation
- Implement event-driven flows with platform event triggers, correlation handling, and error recovery for reactive process automation
- Identify platform events in flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Analyze platform events in flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Analyze platform events in flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Implement platform events in flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
2
Domain 2: MuleSoft Composer
2 topics
Composer Flows
- Identify MuleSoft Composer components including triggers, actions, data mapping, and conditional logic for low-code integration creation
- Implement Composer integration flows connecting Salesforce, Google, Slack, and other systems with data transformations for business automation
- Analyze Composer flow design evaluating trigger selection, error handling, and data mapping complexity for maintainable business integrations
- Deploy composer flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Recognize composer flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- List composer flows configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Composer Governance
- Identify Composer governance features including connection management, flow monitoring, and access control for organizational integration management
- Implement Composer governance configurations with shared connections, monitoring dashboards, and team access controls for managed integration delivery
- Configure composer governance configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Apply composer governance configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Describe composer governance configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Name composer governance configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
3
Domain 3: Einstein Bots
2 topics
Bot Development
- Identify Einstein Bot components including dialogs, entities, variables, and intent sets for conversational AI development
- Implement Einstein Bot configurations with dialog flows, entity extraction, and channel deployment for automated customer interaction
- Analyze bot effectiveness evaluating intent recognition accuracy, conversation completion rates, and handoff patterns for improvement
- Assess bot development configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Compare bot development configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Create bot development configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Deploy bot development configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Bot Integration
- Identify bot integration options including Apex actions, flow invocations, and external service callouts for intelligent bot responses
- Implement bot-to-system integrations with context passing, data lookup, and transaction processing for intelligent service automation
- Compare bot integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Recognize bot integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Deploy bot integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Assess bot integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
4
Domain 4: Einstein AI
1 topic
AI Features
- Identify Einstein AI features including prediction builder, recommendation builder, and classification for declarative AI automation
- Implement Einstein Prediction Builder with custom predictions, score interpretation, and threshold configuration for intelligent automation
- Analyze AI model performance evaluating prediction accuracy, false positive rates, and feature importance for model optimization
- Name ai features configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Configure ai features configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine ai features configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Describe ai features configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
5
Domain 5: RPA
1 topic
Process Automation
- Identify Salesforce RPA capabilities including MuleSoft RPA, bot recording, and process mining for repetitive task automation
- Implement RPA workflows with bot activities, exception handling, and human-in-the-loop patterns for attended and unattended automation
- Analyze RPA effectiveness evaluating automation coverage, execution accuracy, and time savings for ROI-driven process optimization
- Implement process automation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Identify process automation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Identify process automation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Analyze process automation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
6
Domain 6: Document Processing
1 topic
Intelligent Documents
- Identify document processing capabilities including Einstein Document Reader, OCR extraction, and form recognition for data capture
- Implement document processing workflows with field extraction, validation rules, and exception handling for automated document intake
- Analyze document processing accuracy evaluating extraction confidence, field validation rates, and exception handling for quality improvement
- Evaluate intelligent documents configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine intelligent documents configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Configure intelligent documents configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Apply intelligent documents configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
7
Domain 7: Orchestration
1 topic
Cross-Platform
- Identify cross-platform orchestration patterns including API-based triggers, event-driven coordination, and human approval integration
- Implement cross-platform automation workflows connecting Flow, MuleSoft, and external systems for end-to-end business process orchestration
- Analyze orchestration design evaluating error propagation, compensation patterns, and monitoring strategies for reliable process management
- List cross-platform configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Create cross-platform configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Compare cross-platform configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Recognize cross-platform configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Scope
Included Topics
- Flow Builder advanced patterns including subflows, invocable actions, and platform events.
- MuleSoft Composer low-code integration for business user automation.
- Einstein Bots, Einstein AI, and intelligent automation capabilities.
- Robotic Process Automation, document processing, and cross-platform orchestration.
Not Covered
- Core Apex development.
- Data architecture.
- Marketing Cloud.
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