Firstly, strengthen your foundational knowledge about application networks. Go over on how to govern, deliver, and control access to API on the Anypoint Platform as well. The other tasks comprising the bulk of the exam are the following:
- Defining the basics of application network
This portion reiterates the essence of strengthening your foothold. Have a strong grasp of the “modern API”, application networks, outcome-based delivery (OBD), and most especially the Anypoint Platform. Learn as much as you can about their roles, characteristics, benefits, terms, and capabilities.
- Carrying out APIs
This part involves your ability to deliver APIs in circumstances that would necessitate promotion of APIs with API manager or redeployment of API implementations. You must be skillful in using autodiscovery to link API implementation to API instances. Aside from that, know the automation capabilities of the Anypoint Platform and the integration tests.
- Designing performant and resilient APIs
Describe the features in scaling API performance, the contrast between CloudHub Shared and Dedicated Load Balancers, and lastly, the single points of failure in Cloudhub usage. Make sure to be knowledgeable with the varying strategies in helping API clients prevent failures in API invocations.
- Overseeing API access
You will be manning the control access to APIs. Hence, you should be able to explain how to register an API client for access as well as how and when to pass client ID and secret to API.
- Setting up organizational and platform foundation
For you to select and establish the correct Anypoint Platform, make sure you understand the role and purpose of the Center for Enablement (C4E) and the different KPIs to gauge its success. Try your best to be able to specify all the possible Anypoint Platform deployment options.
- Plotting APIs and their interactions
Master the art of evaluating functional requirements and transforming these into business-aligned APIs. Know what situations require polling or callbacks, what specific changes need a major version increment, and when to propose the use of Enterprise Data Model or Bounded Context Data Models. For an optimistic concurrency, be familiar with idempotent HTTP methods and HTTP-native support as well as with reusable API-related assets.
- Managing APIs on the Anypoint Platform
Acquaint yourself with API policies, policy enforcement, and proxies as you may be dealing with them more often in your future career. Understand which APIs and remote interfaces can be managed by the API manager.
- Making use of API-led connectivity
Once again, knowledge of the APIs will help you get through this area as you will be assigning them to layers of API-led connectivity. You will be basing this assignment upon ownership, functional focus, and rate of change. Back up your recommendations when choosing the most suitable approach in the API data model of System APIs.
- Establishing Mule applications to Cloudhub
Since MuleSoft is all about integrating software to connect applications, data, and devices, this concept is absolutely necessary. Build your background on the basics of deployments, networking, and routing on CloudHub. Learn how to choose CloudHub worker sizes and configurations and when to use Object Store.
- Tracking and evaluating application networks
Over and over again, learning the elements of the Anypoint Platform by heart is a vital step for passing MCPA - Level 1. The tasks involved are all interrelated to this main platform. You should be skilled in monitoring, alerting, and analyzing the application networks.
Introduction to MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam
A MuleSoft Certified Developer - Level 1 should be able to successfully work on basic Mule 4 projects with guidance and supervision. The exam validates that a developer has the required knowledge and skills to design, build, test and debug, deploy, and manage basic APIs and integrations: moving from Anypoint Platform to Anypoint Studio and back.
Certified candidates should be able to:
- Use Anypoint Studio to build, test, and debug basic integrations and API implementations.
- Perform basic data transformations using Data Weave 2.0.
- Process batch records.
- Control event flow and handle errors.
- Connect to a range of resources including databases, files, web services, SaaS applications, and JMS queues.
- Use MuleSoft-hosted Anypoint Platform to take a basic API through all the steps of its lifecycle: design, build, deploy, manage, and govern.
Becoming a MuleSoft architect can either be achieved through the platform or the integration architect path. In the first case, candidates are tested for their ability to create company-level decisions by looking at the big picture in building an effective application network. This path is designed for higher-level solutions or enterprise architects.
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Being a MuleSoft certified platform architect is a great achievement that will surely advance your career. The base salary of a Platform Architect in particular averages around $158k annually (ZipRecruiter.com). Big companies are also on the lookout for MuleSoft certified professionals. Attaching this certificate to your resume will surely guarantee you a spot in the interview, if not the job itself. If you still want to advance your career further, you can also go for the MuleSoft developer or integration architect paths.
Reference: https://training.mulesoft.com/exam/mcpa-level1
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MuleSoft MCPA-Level-1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Applying Integration Patterns | 11% | - API layer assignment: experience, process, system
- Ownership and governance alignment
- Common integration patterns application
|
| Topic 2: Explaining Application Network Basics | 11% | - Outcome-Based Delivery (OBD) definition
- Anypoint Platform capabilities and components
- Modern API characteristics and role
- API-led connectivity and application network benefits
- API, implementation, client, consumer, invocation terminology
|
| Topic 3: Architecting and Deploying API Implementations | 11% | - High availability and resilience design
- Implementation architecture best practices
- Deployment topologies selection
|
| Topic 4: Monitoring and Analyzing Application Networks | 8% | - Alerting and incident response
- Usage analysis and optimization
- Metrics and logging strategy
|
| Topic 5: Establishing Organizational and Platform Foundations | 17% | - C4E success KPIs
- Identity vs client management configuration
- Anypoint Platform deployment options selection
- Center for Enablement (C4E) purpose and roles
|
| Topic 6: Managing APIs | 12% | - API lifecycle governance
- Policy enforcement and security
- API discovery and reusability
|
| Topic 7: Deploying API Implementations to CloudHub | 11% | - Worker sizing and scaling
- VPC and networking setup
- CloudHub deployment configuration
|
| Topic 8: Designing and Sharing APIs | 11% | - Data model selection: enterprise vs bounded context
- Asset publication using RAML and platform tools
- Idempotency and concurrency control
- API versioning rules
- Functional requirements to aligned APIs
- Asynchronous patterns: polling vs callbacks
|
| Topic 9: Meeting API Quality Goals | 8% | - Performance and reliability requirements
- Maintainability and testability
- Security and compliance standards
|