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MuleSoft MCPA-Level-1 Exam Topics, Blueprint and Syllabus

MuleSoft Certified Platform Architect - Level 1

Last Update May 17, 2024
Total Questions : 95

Our MuleSoft Certified Platform Architect MCPA-Level-1 exam questions and answers cover all the topics of the latest MuleSoft Certified Platform Architect - Level 1 exam, See the topics listed below. We also provide MuleSoft MCPA-Level-1 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of MuleSoft MCPA-Level-1 resources to help you understand the topics covered in the exam, such as MuleSoft Certified Platform Architect video tutorials, MCPA-Level-1 study guides, and MCPA-Level-1 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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MuleSoft MCPA-Level-1 Exam Overview :

Exam Name MuleSoft Certified Platform Architect - Level 1
Exam Code MCPA-Level-1
Actual Exam Duration The duration of the MuleSoft MCPA-Level-1 exam is 120 minutes (2 hours).
What exam is all about MuleSoft MCPA-Level-1 is an exam that tests the knowledge and skills of candidates in designing, building, and deploying integrations and APIs using MuleSoft's Anypoint Platform. The exam covers topics such as Anypoint Platform architecture, API design and implementation, data transformation, error handling, and security. The exam is designed for developers, architects, and technical leads who work with MuleSoft's Anypoint Platform and want to validate their skills and knowledge in the field. Passing the MCPA-Level-1 exam is a prerequisite for becoming a MuleSoft Certified Developer.
Passing Score required The passing score required in the MuleSoft MCPA-Level-1 exam is 70%.
Competency Level required Based on the official MuleSoft website, the MCPA-Level-1 exam is designed for MuleSoft Certified Platform Architect - Level 1 certification, which requires a deep understanding of MuleSoft's Anypoint Platform and its components, including API design, integration patterns, and deployment strategies. Candidates should have experience in designing and implementing MuleSoft solutions and be able to demonstrate their ability to solve complex integration problems. Therefore, a high level of competency and expertise in MuleSoft is required to pass the MCPA-Level-1 exam.
Questions Format The MuleSoft MCPA-Level-1 exam consists of multiple-choice questions.
Delivery of Exam The MuleSoft MCPA-Level-1 exam is a computer-based exam that is delivered online through the MuleSoft certification portal. It is a proctored exam, which means that a proctor will monitor the exam taker throughout the duration of the exam to ensure that the exam is taken in a secure and fair manner. The exam consists of multiple-choice questions and is timed, with a total of 60 questions to be answered in 120 minutes.
Language offered The MuleSoft MCPA-Level-1 exam is offered in English language only.
Cost of exam However, interested individuals can visit the official MuleSoft website or contact their customer support for the latest pricing information.
Target Audience The MuleSoft MCPA-Level-1 certification is designed for professionals who are involved in the development, implementation, and management of MuleSoft solutions. The target audience for this certification includes: 1. Developers: Developers who are responsible for designing, building, and testing MuleSoft applications. 2. Architects: Architects who are responsible for designing and implementing MuleSoft solutions. 3. Integration Specialists: Integration specialists who are responsible for integrating MuleSoft solutions with other systems. 4. Technical Leads: Technical leads who are responsible for leading MuleSoft development teams. 5. Project Managers: Project managers who are responsible for managing MuleSoft projects. 6. IT Managers: IT managers who are responsible for managing MuleSoft solutions within their organizations. 7. System Administrators: System administrators who are responsible for managing MuleSoft environments. 8. Business Analysts: Business analysts who are responsible for analyzing business requirements and designing MuleSoft solutions to meet those requirements. Overall, the MuleSoft MCPA-Level-1 certification is suitable for anyone who wants to enhance their skills and knowledge in MuleSoft development and implementation.
Average Salary in Market The average salary for a MuleSoft developer is around $95,000 per year. Having MCPA-Level-1 certification can potentially increase your earning potential. However, the salary may vary depending on factors such as location, experience, and industry.
Testing Provider You can visit the MuleSoft website to register for the exam and find authorized training partners who can provide you with the necessary resources and guidance to prepare for the exam.
Recommended Experience The recommended experience for MuleSoft MCPA-Level-1 exam is: - At least 6 months of experience working with MuleSoft Anypoint Platform - Familiarity with MuleSoft development tools such as Anypoint Studio and API Designer - Understanding of RESTful web services and API design principles - Knowledge of Java programming language and object-oriented programming concepts - Familiarity with integration patterns and techniques - Experience with data transformation using DataWeave - Understanding of cloud computing and deployment models - Familiarity with DevOps practices and tools such as Jenkins and Git It is important to note that these are only recommendations, and individuals with different backgrounds and experiences may also be successful in passing the exam.
Prerequisite The prerequisites for the MuleSoft MCPA-Level-1 exam are: 1. Basic knowledge of Java programming language 2. Understanding of RESTful web services and APIs 3. Familiarity with MuleSoft Anypoint Platform and its components 4. Experience in designing and developing MuleSoft applications 5. Knowledge of integration patterns and best practices 6. Understanding of data transformation and mapping techniques 7. Familiarity with cloud-based deployment and management of MuleSoft applications.
Retirement (If Applicable) it is recommended to check the official MuleSoft website or contact their customer support for the latest updates on the exam retirement date.
Certification Track (RoadMap): The MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) certification track/roadmap is a comprehensive program designed to validate the skills and knowledge of MuleSoft developers and architects. The certification exam covers a wide range of topics, including MuleSoft architecture, design patterns, integration techniques, and best practices. The certification track/roadmap includes the following steps: 1. MuleSoft Certified Developer - Level 1 (MCD-Level-1) certification: This certification validates the developer's knowledge and skills in building, testing, and deploying MuleSoft applications. 2. MuleSoft Certified Developer - Level 2 (MCD-Level-2) certification: This certification validates the developer's advanced knowledge and skills in building, testing, and deploying complex MuleSoft applications. 3. MuleSoft Certified Integration Architect - Level 1 (MCA-Level-1) certification: This certification validates the architect's knowledge and skills in designing and implementing MuleSoft integration solutions. 4. MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) certification: This certification validates the architect's advanced knowledge and skills in designing and implementing complex MuleSoft integration solutions. The certification track/roadmap is designed to help MuleSoft professionals advance their careers and demonstrate their expertise in MuleSoft integration solutions.
Official Information https://training.mulesoft.com/exam/mcpa-level1
Take Self-Assessment Use MuleSoft MCPA-Level-1 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

MuleSoft MCPA-Level-1 Exam Topics :

Section Weight Objectives
Explaining application network basics  
  • Explain MuleSoft’s proposal for closing the IT delivery gap.
  • Describe the role and characteristics of the "modern API."
  • Define and describe the benefits of API-led connectivity and application networks.
  • Define outcome-based delivery (OBD).
  • Correctly use the terms API, API implementation, API client, API consumer, and API invocation.
  • Describe the capabilities and high-level components of Anypoint Platform.
Establishing organizational and platform foundations  
  • Describe the purpose and roles of a Center for Enablement (C4E).
  • Identify KPIs to measure the success of a C4E.
  • Given specific organizational requirements, preferences, and constraints, identify all suitable Anypoint Platform deployment options.
  • Select Anypoint Platform identity management vs client management for the correct purpos
Designing APIs and API interactions  
  • Break down functional requirements into business-aligned APIs with effective granularity.
  • Given a set of APIs and specific preferences and organizational characteristics, recommend the use of an Enterprise Data Model or Bounded Context Data Models.
  • Identify changes to an API that would require or not require a major version increment.
  • When asynchronous execution of API invocations is needed, select when to appropriately use polling or callbacks.
  • Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency.
  • Describe the creation and publication of reusable API-related assets using RAML and Anypoint Platform components
Following API-led connectivity  
  • Identify appropriate APIs to implement a business process and assign them to layers of API-led connectivity.
  • Assign APIs to layers according to ownership, functional focus, and rate of change.
  • Given specific requirements and organizational characteristics, recommend the most appropriate approach relating the API data model of System APIs to that of their backend system.
Governing APIs on Anypoint Platform  
  • Given specific preferences and constraints, select API policy enforcement with or without API proxies.
  • Select appropriate API policies to enforce non-functional constraints on API invocations.
  • Given an API policy with specific characteristics, identify any change required in the corresponding RAML definition.
  • Given a layer of API-led connectivity, identify API policies that are typically applied to that layer and the scenarios needing custom policies.
  • Identify which types of APIs and other remote interfaces are or are not amenable to management by API Manager
Controlling access to APIs  
  • Describe when and how to pass client ID and secret to an API.
  • Explain how to register an API client for access to an API version.
Delivering APIs  
  • Describe the automation capabilities of Anypoint Platform for DevOps, CI/CD, and testing.
  • Compare unit and integration tests and specify where MUnit is best employed.
  • Explain how to use autodiscovery to link an API implementation to an API instance managed with API Manager.
  • Specify how and when to promote APIs with API Manager.
  • Identify when redeployment of API implementations is necessary
Deploying Mule applications to CloudHub  
  • Describe the fundamentals of deployments, networking, and routing on CloudHub.
  • Select CloudHub worker sizes and configuration as appropriate.
  • Describe the scenarios for which Object Store should be used with CloudHub.
Architecting performant and resilient APIs  
  • Identify the factors involved in scaling API performance.
  • Identify the differences between the CloudHub Shared and Dedicated Load Balancers.
  • Identify single points of failure in typical CloudHub usage.
  • Select strategies that help API clients guard against failures in API invocations.
Monitoring and analyzing application networks  
  • Identify the components of Anypoint Platform that generate data for monitoring and alerting.
  • Describe the metrics collected by Anypoint Platform for API invocations.
  • Describe and select between the options for performing API analytics within and outside of Anypoint Platform.
  • Specify alerts to define for key metrics of API invocations for all layers of API-led connectivity.
  • Specify alerts to define for API implementations.