MCPA-Level-1 Exam Information and Guideline
MuleSoft Certified Platform Architect - Level 1
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
Exam Code: MCPA Level 1
Exam Name: MuleSoft Certified Platform Architect - Level 1
Format: Multiple-choice, closed book, proctored, online
Length: 60 questions
Duration: 120 minutes (2 hours)
Pass score: 70%
Language: English
A MuleSoft Certified Platform Architect should be able to define and be responsible for an organization’s Anypoint Platform strategy. The MCPA – Level 1 exam validates that an architect has the required knowledge and skills to direct the emergence of an effective application network out of individual integration solutions following API-led connectivity across an organization using Anypoint Platform. Certified candidates should be able to:
- Understanding API-led Connectivity:
- Define API-led connectivity and its benefits.
- Differentiate between System APIs, Process APIs, and Experience APIs.
- Explain the role of APIs in modern application architectures.
- Anypoint Platform Overview:
- Describe the core components of Anypoint Platform
- Anypoint Design Center
- Anypoint Exchange
- Anypoint Runtime Manager
- CloudHub
- Understand the purpose and use cases of each component.
- API Design Principles:
- Explain RESTful API design principles
- HTTP methods
- status codes
- resource-based URLs
- Understand RAML and its role in API design.
- Describe API security best practices
- OAuth 2.0
- OpenID Connect
- API keys
- Organizational Strategy:
- Define an API strategy for an organization.
- Identify stakeholders and their roles in API governance.
- Establish API governance policies and standards.
- Platform Configuration:
- Configure Anypoint Platform for optimal performance and security.
- Set up user roles and permissions.
- Implement API versioning and lifecycle management.
- API Design:
- Design APIs using RAML or other API design tools.
- Model data structures and API resources.
- Define API security requirements.
- API Interactions:
- Design API interactions using API proxies and API policies.
- Implement error handling and logging.
- Utilize API versioning strategies.
- API-led Connectivity Patterns:
- Apply API-led connectivity patterns to complex integration scenarios.
- Design reusable API components.
- Leverage API proxies for transformation and routing.
- API Implementation:
- Develop Mule applications to implement APIs.
- Use MuleSoft connectors and expressions to integrate with various systems.
- Implement error handling, logging, and monitoring.
- API Governance:
- Enforce API standards and policies.
- Manage API lifecycle
- creation
- deployment
- retirement
- Monitor API usage and performance.
- API Security:
- Implement API security measures
- authentication
- authorization
- encryption
- Protect against API threats
- injection attacks
- unauthorized access
- Manage API keys and tokens.
- API Access Control:
- Configure API access policies using Anypoint Platform.
- Implement role-based access control.
- Manage API rate limiting and throttling.
- API Security:
- Enforce API security measures
- OAuth 2.0
- OpenID Connect
- API keys
- Protect against API threats
- injection attacks
- unauthorized access
- Manage API keys and tokens.
- API Deployment:
- Deploy APIs to CloudHub or on-premises environments.
- Configure deployment settings
- scaling
- security
- monitoring
- Manage API versions and updates.
- API Documentation:
- Generate API documentation using Anypoint Design Center.
- Publish API documentation to a developer portal.
- Provide developer support and training.
- CloudHub Deployment:
- Deploy Mule applications to CloudHub.
- Configure CloudHub worker settings and scaling policies.
- Monitor CloudHub application performance and logs.
- API Performance:
- Optimize API performance
- caching
- asynchronous processing
- batching
- Identify and resolve performance bottlenecks.
- Monitor API response times and throughput.
- API Resilience:
- Implement fault tolerance and error handling mechanisms.
- Design for high availability and disaster recovery.
- Monitor API availability and reliability.
- API Monitoring:
- Monitor API usage, performance, and errors.
- Use Anypoint Platform analytics to gain insights into API traffic.
- Set up alerts and notifications for critical events.
- Application Network Analysis:
- Analyze the overall health and performance of the application network.
- Identify opportunities for optimization and improvement.
- Use Anypoint Platform analytics to track API usage and trends.