About the Exam

Salesforce Certified MuleSoft Platform Integration Architects have proven knowledge and skills to work with technical and non-technical stakeholders to translate functional and non-functional requirements into integration interfaces and implementations. The certification is for architects focused on MuleSoft Anypoint Platform integration work. Passing demonstrates readiness to design and support integration solutions aligned to platform and business requirements.

Exam Topics

  • Designing API-led connectivity30%
  • Designing APIs for reuse and governance17%
  • Designing integration solutions with Anypoint Platform20%
  • Managing APIs and integrations17%
  • MuleSoft application network concepts16%

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Last updated December 2, 2025 at 12:49 PM

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QuestionQ1

Managing APIs and integrations

An organization’s security requirements require centralized, continuous control of authentication and authorization for external applications that invoke web APIs managed on Anypoint Platform.

Which Anypoint Platform feature is the simplest and most maintainable way to meet this requirement?

  • A Identify management configured in Access Management
  • B Client management configured in Access Management
  • C External access configured in API Management
  • D Enterprise Security module coded in Mule applications
Explanation

Client Management in Access Management lets an organization configure external client providers to authorize API client applications and apply OAuth 2.0 protection to APIs. It centralizes and scales client authorization across environments, providing centralized control for external applications that call managed APIs.

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QuestionQ2

MuleSoft application network concepts

A company is modernizing its legacy systems to speed up access to applications and data while enabling adoption of new technologies. Achieving this business objective depends on unlocking the company’s systems and data, including existing on-premises services that authorized external clients can access. The IT staff’s experience is primarily limited to supporting the legacy systems.

Given the aggressive backlog and project-delivery requirements, the company wants to take a strategic approach during the first phase of its transformation projects by rapidly deploying APIs to Mule runtimes that can scale, connect to on-premises systems, and migrate when necessary.

Following MuleSoft best practices, which MuleSoft runtime deployment option best fulfills the company’s goals for starting its digital-transformation journey?

  • A CloudHub runtimes
  • B Customer-hosted self-provisioned runtimes
  • C Customer-hosted runtimes provisioned by a MuleSoft services partner
  • D Runtime Fabric on VMs/bare metal
Explanation

CloudHub is a managed, elastic integration platform for deploying Mule applications and APIs. It lets teams scale applications without operating the underlying Mule runtime infrastructure, and an Anypoint VPC can securely connect CloudHub applications to on-premises systems through VPN, VPC peering, transit gateway, or AWS Direct Connect. This minimizes the operational burden on a team whose expertise is concentrated in legacy systems while enabling rapid API delivery.

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QuestionQ3

Designing APIs for reuse and governance

An organization has developed a large monolithic application over time and is now seeking to move to a microservices architecture. During this transition, it has created several System APIs as Mule applications that expose access to different functionality within the monolithic application. The System APIs are deployed to Mule runtimes on a customer-hosted EC2 instance in AWS.

The System APIs connect directly to a single database used by the monolithic application. Currently, every project must include a Database connector and its connector configuration. There is a future plan to split this database into several smaller data stores.

What MuleSoft-recommended best practice should be used to share the connector and configuration information across the APIs?

  • A Create an API proxy for each System API and share the Database connector configuration with all the API proxies via an automated policy
  • B Build another System API that connects to the database, and refactor all the other APIs to make requests through the new System API to access the database
  • C Build a Mule domain project, add the Database connector and configuration to it, and reference this one domain project from each System API
  • D Build a separate Mule domain project for each API, and configure each of them to use a file on a shared file store to load the configuration information dynamically
Explanation

A Mule domain centralizes shared global resources, including connector configurations, for Mule applications deployed under that domain on the same customer-hosted Mule runtime. Defining the Database connector and configuration once in a shared domain lets each System API reference the same resource, maintaining a single consistent configuration and shared database connection.

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QuestionQ4

Managing APIs and integrations

An external API often calls an Employees system API to retrieve employee data from a MySQL database. The architect must create a caching strategy that queries the database only when the Employees table is updated; otherwise, it must return a cached response to minimize redundant transactions handled by the database.

What must the architect do to accomplish the caching objective?

  • A Use a Scheduler with a fixed frequency set to every hour to trigger an invalidate cache flow.Use an object-store-caching-strategy and the default expiration interval.
  • B Use a Scheduler with a fixed frequency set to every hour, triggering an invalidate cache flow.Use an object-store-caching-strategy and set the expiration interval to 1 hour.
  • C Use an On Table Row operation configured with the Employees table and call invalidate cache.Use an object-store-caching-strategy and the default expiration interval.
  • D Use an On Table Row operation configured with the Employees table, call invalidate cache, and hardcode the new Employees data to cache.Use an object-store-caching-strategy and set the expiration interval to 1 hour.
Explanation

A Database Connector On Table Row source configured for the Employees table can trigger a flow when table rows are detected, and an Invalidate Cache component can clear the cache associated with the object-store caching strategy. The following request recalculates the cached response from MySQL; requests made while the data is unchanged are served from the cache. A fixed scheduler and a one-hour expiration do not make invalidation dependent on an Employees-table update.

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QuestionQ5

MuleSoft application network concepts

A large life sciences customer intends to use the Mule Tracing module with Mapped Diagnostic Context (MDC) logging operations to enrich logging in its Mule application and improve tracking by adding more context to Mule application logs. The customer also wants to increase throughput and reduce message-processing latency in its Mule application flows.

After the Mule Tracing module is installed in the Mule application, how should logging be performed in Mule application flows, and what should be changed in the log4j2.xml files?

  • A In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.In log4j2.xml files, change the appender’s pattern layout to use %MDC and then assign the appender to a Logger or Root element.
  • B In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.In log4j2.xmI files, change the appender’s pattern layout to use the %MDC placeholder and then assign the appender to an AsyncLogger element.
  • C In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.In log4j2.xml files, change the appender’s pattern layout to use the % asyncLogger placeholder and then assign the appender to an AsyncLogger element.
  • D In the flows, wrap Logger components in Async scopes.In log4j2.xmI files, change the appender’s pattern layout to use the %asyncLogger placeholder and then assign the appender to a Logger or Root element.
Explanation

The Mule Tracing module’s Set logging variable operation adds contextual values to the current Mule event’s MDC, so it must precede the Core Logger components that emit those values. The Log4j2 pattern layout must use %MDC to output the MDC context. Asynchronous logging uses a separate thread for log handling, allowing message processing to continue without waiting for logging to finish; assigning the appender to an AsyncLogger therefore supports improved throughput and lower latency.

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Topics covered
Designing API-led connectivityDesigning APIs for reuse and governanceDesigning integration solutions with Anypoint PlatformManaging APIs and integrationsMuleSoft application network concepts
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