MuleSoft Platform Architect I

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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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