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Exam Code: MuleSoft Platform Architect I
Exam Name: Salesforce Certified MuleSoft Platform Architect I
Exam Q&As: 95 Q&As
Last update: May 27, 2024

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Introduce Salesforce MuleSoft Platform Architect I Exam

The Salesforce Certified MuleSoft Platform Architect I certification, formerly known as the MuleSoft Certified Platform Architect – Level 1 exam, is now part of the Salesforce Architect certification program after a shift from the MuleSoft certifications. It’s tailored for individuals who have experience defining and being responsible for an organization’s Anypoint Platform strategy. As a certified professional, you will be able to direct the emergence of an effective application network out of individual integration solutions following application programming interface (API)-led connectivity across an organization using the Anypoint Platform.

Learning MuleSoft Platform Architect I Exam Objectives Is Strongly Recommended

  • Identify and differentiate between technologies typically used to implement API-led connectivity.
  • Describe the role and characteristics of web APIs.
  • Correctly assign APIs to tiers according to ownership, functional focus, and rate of change.
  • Describe the capabilities and high-level components of the Anypoint Platform.
  • Advise on establishing a Center for Enablement (C4E) and identify key performance indicators (KPIs) to measure its success.
  • Describe the high-level structure and benefits of MuleSoft Catalyst.
  • Compare and contrast Identity Management and Client Management options on the Anypoint Platform.
  • Identify data residency of different kinds of data (payload, metrics, and others).
  • Identify dependencies between an API, its API specification, its implementation, and its clients.
  • Describe the creation and publication of reusable API-related assets using API specifications and Anypoint Platform components.
  • Identify changes to an API that would require or not require changing the major/minor/patch component of its semantic version.
  • Given a specific power relationship between two Bounded Contexts, choose the most appropriate strategy for mapping between the API data models of these Bounded Contexts.
  • Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency.
  • Recognize the important features and functionality of API Designer to design API specifications.
  • 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.
  • Recommend the most appropriate approach relating the API data model of System APIs to that of their backend system based on specific requirements and organizational characteristics.
  • Make appropriate use of API instances and environments in API Manager, taking into account the nature of the API and the underlying data and system.
  • Select appropriate API policies and other components of the API to support specific non-functional requirements (NFRs).
  • Identify any change(s) required to an API specification to reflect the application of an API policy with specific characteristics.
  • Select an approach to API policy enforcement based on specific preferences and constraints, including, but not limited to, API proxies/API gateways and Anypoint Service Mesh.
  • Secure web APIs using API policies appropriately chosen for the API’s tier (System, Process, Experience).
  • Describe in what circumstances and how to pass client ID and secret to a web API.
  • Explain how to request access to an API version for an API client, and how that access is approved and revoked.
  • Select appropriate API policies to enforce non-functional security constraints on web API invocations.
  • Explain the relationships of the Anypoint Platform, external Identity Providers (IdPs), AP Business Groups, and API clients in the context of OAuth 2.0.
  • Identify scenarios needing custom API policies.
  • Explain how to use auto-discovery to link a web API implementation to an API instance managed with API Manager.
  • Identify requirements that call for the use of an Anypoint Virtual Private Cloud (VPC).
  • Compare and contrast options for hosting and managing Anypoint Platform runtime planes.
  • Compare unit and integration tests and specify where MUnit is best employed.
  • Explain options for automated building, testing, and deployment of API implementations and related artifacts in a DevOps setting.
  • Describe the scenarios for which Object Store (OS) should be used with CloudHub.
  • Select CloudHub worker sizes and configurations as appropriate.
  • Given an app deployed to the CloudHub shared worker cloud in one or more regions, describe and predict its reliability and performance characteristics.
  • Identify the defining differences between the CloudHub Shared and Dedicated Load Balancers.
  • Compare and contrast the options for CloudHub networking in the presence of customer-owned Amazon VPCs and on-premises data centers.
  • Identify and avoid single points of failure in CloudHub deployments of API implementations.
  • Design, describe, and differentiate between scenarios that use an OS or caching.
  • Select resilience strategies that help web API clients guard against failures when invoking APIs.
  • Describe when horizontal scaling of an API implementation is or is not likely to benefit response time and throughput as seen by API clients.
  • Identify the components of the Anypoint Platform that generate data for monitoring and alerting.
  • Describe the metrics collected by Anypoint Platform for API invocations.
  • Specify alerts to define key metrics of API invocations for all layers of API-led connectivity.
  • Specify alerts to define for Mule applications.

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