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MuleSoft-Platform-Architect-I
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MuleSoft Platform Architect I (MuleSoft-Platform-Architect-I)

The certification validates an architect’s ability to design, implement, and govern API‑led solutions on Anypoint Platform, covering connectivity, integration patterns, error handling, and security across enterprise environments.

120
Minutes
60
Questions
65/100
Passing Score
$400
Exam Cost

Who Should Take This

It is intended for integration architects, senior developers, or technical leads who have at least three years of experience building MuleSoft solutions and a solid grasp of API‑led design. These professionals seek to demonstrate expertise in designing scalable, secure integrations and to advance their credentials for enterprise‑level projects.

What's Covered

1 Domain 1: API-Led Connectivity
2 Domain 2: Anypoint Platform
3 Domain 3: Integration Patterns
4 Domain 4: Error Handling
5 Domain 5: API Security
6 Domain 6: Performance
7 Domain 7: API Governance

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: API-Led Connectivity
2 topics

API Architecture

  • Implement API-led connectivity architectures with system, process, and experience API layers following MuleSoft best practices and standards
  • Analyze API layer decomposition decisions evaluating granularity, reusability, and consumer requirements for enterprise API design strategies
  • Design enterprise API strategies defining product catalogs, versioning policies, and consumer onboarding workflows for API-first organizations
  • Recommend api architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Optimize api architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Architect api architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

API Specification

  • Implement RAML and OAS API specifications with resource definitions, data types, traits, and security schemes for contract-first development
  • Design API modeling approaches using domain-driven design, resource taxonomy, and canonical data models for consistent enterprise standards
  • Analyze API contract evolution evaluating backward compatibility, versioning approaches, and deprecation policies for stable API ecosystems
  • Create api specification configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Compare api specification configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Deploy api specification configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
2 Domain 2: Anypoint Platform
2 topics

Platform Components

  • Implement Anypoint Platform configurations with Design Center, Exchange, Runtime Manager, and API Manager for lifecycle API management
  • Analyze deployment topology decisions evaluating CloudHub, Runtime Fabric, and hybrid models for infrastructure requirements and constraints
  • Design multi-environment architectures with business group hierarchies, environment management, and access control configurations for governance
  • Examine platform components configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Configure platform components configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Assess platform components configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

Runtime Architecture

  • Implement Mule runtime configurations with application properties, secure configuration management, and environment-specific override settings
  • Design high-availability runtime architectures using clustering, load balancing, and auto-scaling for production-grade Mule deployments
  • Analyze runtime performance evaluating thread pool configurations, memory allocation, and connection pool sizing for optimal throughput
  • Design runtime architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Design runtime architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Plan runtime architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
3 Domain 3: Integration Patterns
2 topics

Enterprise Patterns

  • Implement message routing patterns including content-based routing, scatter-gather, and message enrichment using Mule flow components
  • Design event-driven integration architectures using Anypoint MQ, CloudHub Messaging, and external broker connectivity for async processing
  • Analyze pattern selection evaluating synchronous versus asynchronous, request-reply versus fire-and-forget for specific business requirements
  • Configure enterprise patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Examine enterprise patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

Data Transformation

  • Implement DataWeave transformations with complex mapping expressions, recursive functions, and streaming for large payload data conversion
  • Design canonical data models with DataWeave libraries, reusable transformation modules, and type-safe mapping patterns for data standards
  • Analyze transformation performance evaluating streaming versus in-memory processing, payload size impact, and DataWeave optimization techniques
  • Compare data transformation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Create data transformation configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
4 Domain 4: Error Handling
1 topic

Error Strategy

  • Implement error handling strategies using try-catch scopes, error types, on-error-continue, and on-error-propagate for resilient applications
  • Design reliability patterns with idempotent receivers, until-successful retries, and dead letter queue management for guaranteed processing
  • Analyze error handling effectiveness evaluating failure rates, retry success patterns, and alerting configurations for reliability improvement
  • Optimize error strategy configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Recommend error strategy configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
5 Domain 5: API Security
2 topics

Security Policies

  • Implement API security policies including OAuth 2.0 enforcement, JWT validation, and client ID enforcement using API Manager configurations
  • Design defense-in-depth security architectures combining gateway policies, application controls, and network security for API protection
  • Analyze security threat models evaluating OWASP API risks, token management vulnerabilities, and data exposure prevention measures
  • Apply security policies configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Evaluate security policies configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

Identity Management

  • Implement identity provider integrations with SAML, OpenID Connect, and LDAP for federated authentication across Anypoint Platform components
  • Design identity management architectures with token exchange, scope-based authorization, and federation for enterprise API consumer access
  • Implement identity management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Evaluate identity management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Apply identity management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Analyze identity management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
6 Domain 6: Performance
2 topics

Performance Engineering

  • Implement performance testing with load testing tools, realistic traffic patterns, concurrent user simulation, and SLA verification procedures
  • Design performance optimization architectures using caching strategies, connection pooling, and batch processing for high-throughput integrations
  • Analyze performance bottlenecks using Anypoint Monitoring dashboards, custom metrics, and distributed tracing for root cause analysis
  • Analyze performance engineering configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Implement performance engineering configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

Monitoring

  • Implement monitoring configurations with custom dashboards, log aggregation, and alerting rules using Anypoint Monitoring and Visualizer
  • Design observability architectures combining application metrics, infrastructure monitoring, and business activity monitoring for visibility
  • Analyze operational health metrics evaluating API response times, error rates, throughput trends, and SLA compliance for capacity planning
  • Architect monitoring configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Plan monitoring configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
7 Domain 7: API Governance
1 topic

Governance Framework

  • Implement API governance policies with automated conformance checking, naming convention enforcement, and quality gate validation rules
  • Design API Center governance frameworks with reusable fragments, exchange dependencies, and maturity progression plans for organizations
  • Analyze governance effectiveness evaluating API reuse rates, time-to-first-API, and developer satisfaction metrics across enterprise teams
  • Deploy governance framework configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
  • Assess governance framework configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies

Scope

Included Topics

  • API-led connectivity with system, process, and experience API layer design.
  • Anypoint Platform architecture with Design Center, Exchange, and Runtime Manager.
  • Integration patterns, DataWeave transformations, and error handling strategies.
  • API security, performance engineering, and operational monitoring.

Not Covered

  • Core Salesforce administration.
  • MuleSoft Composer.
  • Infrastructure provisioning.

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