MuleSoft Platform Architect I Exam Preparation Material | Salesforce Certified MuleSoft Platform Architect I

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Question#1

What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?

A. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
B. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects
C. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making
D. Create a lean and agile organization that makes many small decisions everyday; this speeds up decision making and enables each line of business to take ownership of its projects

Explanation:
Correct Answer Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization >> The main motto of the new IT Operating Model that MuleSoft recommends and made popular is to change the way that they are delivered from a production model to a production + consumption model, which is done through an API strategy called API-led connectivity.
>> The assets built should also be discoverable and self-serveable for reusablity across LOBs and organization.
>> MuleSoft's IT operating model does not talk about SDLC model (Agile/ Lean etc) or MDM at all. So, options suggesting these are not valid.
Reference:
https://blogs.mulesoft.com/biz/connectivity/what-is-a-center-for-enablement-c4e/
https://www.mulesoft.com/resources/api/secret-to-managing-it-projects

Question#2

An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the API invocations to an API implementation?

A. When the API invocations are sent directly to the internal DNS record of the API implementation
B. When the API invocations are not over-a- secure TLS/SSL communication channel
C. When the APL invecations originate from a geography different than the API
D. When the number of API invocations are below a threshold

Explanation:
Default Alert Capabilities in Anypoint Platform:
Anypoint Platform provides out-of-the-box alerting capabilities for monitoring API invocation conditions, including setting thresholds for the number of invocations.
Alerts can be configured for conditions such as high or low traffic (invocations exceeding or falling
below a defined threshold).
Evaluating the Options:
Option A: Anypoint Platform does not provide direct alerting based on DNS records.
Option B: Anypoint Platform does not provide default alerts based on whether invocations use TLS/SSL; this would require custom configuration.
Option C: Geolocation-based alerting is not natively supported in Anypoint Platform.
Option D (Correct Answer): Alerts based on API invocation thresholds (e.g., invocations falling below a set threshold) are supported and can be configured as part of the default Anypoint alerting functionality.
Conclusion:
Option D is correct, as Anypoint Platform allows configuring alerts based on the number of API invocations falling below or exceeding a threshold.
Refer to MuleSoft's documentation on Anypoint Monitoring and alert configurations for more details.

Question#3

A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API.
What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

A. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
B. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
D. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Explanation:
Correct Answer Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization
greater than 70%
The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:

Question#4

A large organization with an experienced central IT department is getting started using MuleSoft. There is a project to connect a siloed back-end system to a new Customer Relationship Management (CRM) system. The Center for Enablement is coaching them to use API-led connectivity.
What action would support the creation of an application network using API-led connectivity?

A. Invite the business analyst to create a business process model to specify the canonical data model between the two systems
B. Determine if the new CRM system supports the creation of custom: REST APIs, establishes 4 private network with CloudHub, and supports GAuth 2.0 authentication
C. To expedite this project, central IT should extend the CRM system and back-end systems to connect to one another using built in integration interfaces
D. Create a System API to unlock the data on the back-end system using a REST API

Explanation:
For an organization starting with API-led connectivity to integrate a siloed back-end system with a new CRM, the following approach aligns with best practices and MuleSoft’s Center for Enablement (C4E) guidance:
API-led Connectivity: This model organizes APIs into distinct layers (System, Process, and Experience) to improve reusability, modularity, and manageability.
System APIs are used to expose and unlock data from core systems (such as back-end applications or databases).
Process APIs orchestrate data across multiple systems and transform it as needed.
Experience APIs format the data specifically for consumption by applications or devices, such as the CRM in this case.
Step to Support Application Network:
Create a System API for the back-end system. This API should expose the necessary data to support integration with the CRM.
By creating a System API with a RESTful interface, data can be accessed in a standardized way, making it easier to integrate with other systems and supporting future scalability.
Why Option D is Correct:
Creating a System API aligns with the principle of API-led connectivity, ensuring that data is exposed in a reusable manner. This API can then be orchestrated by Process APIs as needed to meet CRM requirements and can easily be extended to other applications. of Incorrect Options:
Option A (creating a business process model) does not directly enable connectivity or expose back-end data through APIs.
Option B is unnecessary at this stage; assessing CRM capabilities like OAuth 2.0 support is not directly related to creating the application network via System APIs.
Option C contradicts API-led best practices by suggesting a point-to-point integration, which API-led connectivity seeks to avoid due to its lack of flexibility and scalability. Reference
Refer to MuleSoft’s API-led Connectivity resources for a detailed framework on building scalable integration layers using System, Process, and Experience APIs.

Question#5

How are an API implementation, API client, and API consumer combined to invoke and process an API?

A. The API consumer creates an API implementation, which receives API invocations from an API such that they are processed for an API client
B. The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation
C. The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
D. The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation

Explanation:
Correct Answer The API consumer creates an API client, which sends API invocations to an API such
that they are processed by an API implementation
Terminology:
>> API Client - It is a piece of code or program the is written to invoke an API
>> API Consumer - An owner/entity who owns the API Client. API Consumers write API clients.
>> API - The provider of the API functionality. Typically an API Instance on API Manager where they are managed and operated.
>> API Implementation - The actual piece of code written by API provider where the functionality of the API is implemented. Typically, these are Mule Applications running on Runtime Manager.

Exam Code: MuleSoft Platform Architect I
Q & A: 152 Q&As         Updated:  Oct 07,2026

 

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Exam Code: MuleSoft Platform Architect I
Q & A: 152 Q&As
Updated:  Oct 07,2026

 

 Access Complete MuleSoft Platform Architect I Preparation Material