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MuleSoft MCPA-Level-1 Exam Syllabus

MuleSoft MCPA-Level-1 Exam

MuleSoft Certified Platform Architect - Level 1

Total Questions: 95

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MuleSoft MCPA-Level-1 Exam Overview :

Exam Name MuleSoft Certified Platform Architect - Level 1
Exam Code MCPA-Level-1
Official Information https://training.mulesoft.com/exam/mcpa-level1
See Expected Questions MuleSoft MCPA-Level-1 Expected Questions in Actual Exam
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.

Updates in the MuleSoft MCPA-Level-1 Exam Syllabus:

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