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MuleSoft Dev II
Candidates master advanced Mule runtime configuration, enterprise integration patterns, performance tuning, high‑availability design, and API governance, preparing them to design, analyze, and strategize robust integration solutions.
105
Minutes
60
Questions
65/100
Passing Score
$200
Exam Cost
Who Should Take This
Mid‑level to senior MuleSoft developers who have built production integrations and seek to deepen their expertise in scalable architecture and governance. They aim to validate their ability to apply advanced runtime settings, optimize performance, ensure high availability, and define API policies across complex enterprise environments.
What's Covered
1
Domain 1: Advanced Mule Runtime
2
Domain 2: Enterprise Integration Patterns
3
Domain 3: Performance Engineering
4
Domain 4: High Availability
5
Domain 5: API Governance
6
Domain 6: CI/CD and DevOps
7
Domain 7: Security Architecture
8
Domain 8: Observability
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
67 learning goals
1
Domain 1: Advanced Mule Runtime
2 topics
Custom Components
- Apply custom connector development with SDK, connection management, and operation definition for reusable integration components
- Implement custom policies with YAML definitions, DataWeave transformations, and API gateway deployment for organizational API governance
- Analyze custom component performance including connection pooling, thread utilization, and memory consumption for production optimization
- Design a custom component strategy with SDK patterns, testing frameworks, and versioning for maintainable organizational extensions
Mule Runtime Internals
- Apply Mule 4 execution engine concepts including processing strategies, thread pool management, and non-blocking IO for performance tuning
- Implement custom serialization, object store management, and persistent queue configuration for stateful integration processing
- Analyze runtime resource utilization including CPU profiling, memory analysis, and thread dump inspection for production troubleshooting
- Design a runtime optimization strategy with tuning parameters, resource allocation, and monitoring for high-throughput integration applications
2
Domain 2: Enterprise Integration Patterns
3 topics
Messaging Patterns
- Apply enterprise messaging patterns including scatter-gather, content-based routing, and recipient list for complex message orchestration
- Implement reliable messaging with JMS, AMQP, and Anypoint MQ for guaranteed delivery in distributed integration architectures
- Analyze messaging pattern effectiveness including latency, ordering, and delivery guarantees for pattern selection optimization
- Design a messaging architecture with pattern composition, error channels, and dead letter handling for enterprise-grade message processing
Transaction Management
- Apply transaction management with XA transactions, Try scope, and compensation logic for data consistency across distributed systems
- Implement saga patterns with compensating transactions, orchestration logic, and state management for long-running distributed operations
- Analyze transaction behavior including isolation levels, locking patterns, and failure scenarios for consistency guarantee assessment
- Design a distributed transaction strategy balancing consistency, availability, and performance for enterprise integration requirements
Event-Driven Patterns
- Implement event-driven integration patterns with Anypoint MQ, CloudHub queues, and publish-subscribe messaging for asynchronous communication
- Design saga patterns with compensating transactions, event sourcing, and correlation identifiers for distributed transaction management
3
Domain 3: Performance Engineering
2 topics
Application Tuning
- Apply performance tuning with thread pool sizing, connection pool configuration, and buffer management for optimal throughput
- Implement streaming processing with DataWeave streaming, repeatable streams, and memory-efficient patterns for large payload handling
- Analyze application performance using profiling tools, thread analysis, and memory diagnostics for bottleneck identification and resolution
- Design a performance architecture with capacity planning, auto-scaling triggers, and performance baselines for SLA-guaranteed integration
Load Testing
- Apply load testing methodologies with realistic traffic profiles, ramp-up patterns, and saturation testing for capacity validation
- Implement performance baselines with metrics collection, threshold definition, and regression detection for continuous performance management
- Analyze load test results including throughput curves, latency percentiles, and resource saturation points for capacity planning
- Design a performance management strategy with continuous profiling, capacity forecasting, and auto-remediation for production reliability
4
Domain 4: High Availability
2 topics
Clustering and Failover
- Apply clustering configuration with object store sharing, queue persistence, and node coordination for high-availability Mule deployments
- Implement failover patterns with health checks, circuit breakers, and automatic reconnection for resilient integration applications
- Analyze cluster behavior including split-brain scenarios, node synchronization, and failover timing for availability optimization
- Design a high-availability architecture with active-active deployment, geographic distribution, and disaster recovery for enterprise uptime SLAs
Runtime Fabric
- Apply Runtime Fabric deployment with resource allocation, replica configuration, and rolling updates for containerized Mule applications
- Implement Runtime Fabric networking with ingress controllers, load balancing, and service mesh integration for production traffic management
- Analyze Runtime Fabric resource utilization, pod scaling behavior, and node health for infrastructure optimization
- Design a Runtime Fabric strategy with multi-environment deployment, resource governance, and operational monitoring for enterprise container management
5
Domain 5: API Governance
3 topics
Policy Development
- Apply custom API policy development with YAML configuration, DataWeave logic, and gateway extension points for organizational API standards
- Implement API lifecycle governance with design review, conformance checking, and deprecation management for controlled API portfolio evolution
- Analyze API governance compliance metrics, policy adoption rates, and developer experience to optimize governance effectiveness
- Design an API governance framework with automated conformance, Center of Excellence processes, and developer enablement for scalable API management
API Analytics
- Apply API analytics with usage tracking, consumer analysis, and SLA monitoring for data-driven API portfolio management
- Implement custom API metrics with business KPIs, integration health indicators, and cost allocation for API value measurement
- Analyze API analytics data including traffic patterns, error distributions, and consumer behavior for API strategy optimization
- Design an API analytics strategy with dashboards, alerting, and reporting for executive and operational API portfolio visibility
API Analytics
- Implement API analytics dashboards with Anypoint Monitoring metrics, consumer tracking, and SLA compliance reporting for API program visibility
6
Domain 6: CI/CD and DevOps
2 topics
Pipeline Development
- Apply CI/CD pipeline development with Maven, MUnit, and Anypoint CLI for automated build, test, and deployment of Mule applications
- Implement environment promotion with property management, configuration externalization, and canary deployment for safe release management
- Analyze deployment pipeline metrics including build time, test coverage, and deployment frequency for DevOps maturity assessment
- Design a DevOps strategy with pipeline automation, environment management, and release governance for enterprise-scale Mule application delivery
Infrastructure as Code
- Apply infrastructure automation with Anypoint CLI, Platform APIs, and scripted provisioning for repeatable environment management
- Implement configuration management with externalized properties, environment-specific overrides, and secret rotation for deployment flexibility
- Analyze infrastructure drift, configuration consistency, and environment parity to maintain reliable deployment infrastructure
- Design an infrastructure strategy with automated provisioning, compliance checking, and disaster recovery for production-grade platform management
7
Domain 7: Security Architecture
2 topics
Advanced Security
- Apply advanced API security with mTLS, token exchange, and security policy chaining for defense-in-depth API protection
- Implement data security with field-level encryption, payload masking, and tokenization for sensitive data protection in transit and at rest
- Analyze security architecture including threat modeling, penetration test findings, and compliance gaps for security remediation
- Design a zero-trust security architecture with identity verification, micro-segmentation, and continuous monitoring for enterprise integration security
Compliance and Audit
- Apply compliance controls with audit logging, data lineage tracking, and retention policies for regulatory integration requirements
- Implement security monitoring with SIEM integration, anomaly detection, and incident response procedures for security operations
- Analyze compliance posture including regulatory coverage, audit findings, and remediation status for continuous compliance management
- Design a compliance framework addressing SOC 2, HIPAA, and PCI requirements for regulated enterprise integration environments
8
Domain 8: Observability
2 topics
Distributed Tracing
- Apply distributed tracing with correlation IDs, span creation, and trace context propagation for end-to-end transaction visibility
- Implement custom monitoring with Anypoint Monitoring APIs, Titanium metrics, and external APM integration for comprehensive observability
- Analyze distributed trace data including latency distribution, error correlation, and service dependency mapping for system behavior understanding
- Design an observability strategy with metrics, logs, and traces integration for unified visibility across distributed integration systems
Operational Excellence
- Apply runbook automation with alerting workflows, auto-remediation scripts, and escalation procedures for operational efficiency
- Implement SLO definition with error budgets, availability targets, and performance thresholds for service reliability management
- Analyze operational metrics including MTTR, change failure rate, and deployment frequency for DevOps maturity and reliability improvement
- Design an operational excellence framework with incident management, post-mortem culture, and continuous improvement for reliable integration operations
Scope
Included Topics
- All MuleSoft Developer II exam domains.
- Configuration and implementation of advanced Mule 4, custom policies, clustering, performance tuning, CI/CD, and enterprise patterns.
- Enterprise MuleSoft Developer II design, architecture, integration, and adoption strategies.
- Scenario-based application of best practices for implementation challenges.
Not Covered
- Apex, LWC, API integrations beyond declarative configuration.
- Platform admin topics from Administrator certification.
- Unrelated Salesforce cloud implementations.
- Third-party tool internals.
- Infrastructure deployment beyond admin settings.
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