Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 29-Jan-2026



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A large company wants to implement IT infrastructure in its own data center, based on the corporate IT policy requirements that data and metadata reside locally. Which combination of Mule control plane and Mule runtime plane(s) meets the requirements?


A. Anypoint Platform Private Cloud Edition for the control plane and the MuleSoft-hosted runtime plane


B. The MuleSoft-hosted control plane and Anypoint Runtime Fabric for the runtime plane


C. The MuleSoft-hosted control plane and customer-hosted Mule runtimes for the runtime plane


D. Anypoint Platform Private Cloud Edition for the control plane and customer-hosted Mule runtimes for the runtime plane





D.
  Anypoint Platform Private Cloud Edition for the control plane and customer-hosted Mule runtimes for the runtime plane

Explanation:

  • Understanding Control and Runtime Planes
  • Evaluating the Options
Conclusion:
Refer to MuleSoft's documentation on Private Cloud Edition deployment and on-premise runtime configurations for further details.

An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?


A.

Anypoint Runtime Fabric


B.

Anypoint Platform for Pivotal Cloud Foundry


C.

CloudHub


D.

A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes





A.
  

Anypoint Runtime Fabric



Explanation: Explanation
Correct Answer: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal
approach to go with hybrid model having some Mule Runtimes hosted on Azure and some
on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to
point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by
Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the
deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs
within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and
bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.
Reference: https://docs.mulesoft.com/runtime-fabric/1.7/

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





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.

  • Step to Support Application Network:
  • Why Option D is Correct:
  • Explanation of Incorrect Options:

A company wants to move its Mule API implementations into production as quickly as
possible. To protect access to all Mule application data and metadata, the company
requires that all Mule applications be deployed to the company's customer-hosted
infrastructure within the corporate firewall. What combination of runtime plane and control
plane options meets these project lifecycle goals?


A.

Manually provisioned customer-hosted runtime plane and customer-hosted control plane


B.

MuleSoft-hosted runtime plane and customer-hosted control plane


C.

Manually provisioned customer-hosted runtime plane and MuleSoft-hosted control plane


D.

iPaaS provisioned customer-hosted runtime plane and MuleSoft-hosted control plane





A.
  

Manually provisioned customer-hosted runtime plane and customer-hosted control plane



Explanation:
Explanation
Correct Answer: Manually provisioned customer-hosted runtime plane and customerhosted
control plane
*****************************************
There are two key factors that are to be taken into consideration from the scenario given in
the question.
>> Company requires both data and metadata to be resided within the corporate firewall
>> Company would like to go with customer-hosted infrastructure.
Any deployment model that is to deal with the cloud directly or indirectly (Mulesoft-hosted
or Customer's own cloud like Azure, AWS) will have to share atleast the metadata.
Application data can be controlled inside firewall by having Mule Runtimes on customer
hosted runtime plane. But if we go with Mulsoft-hosted/ Cloud-based control plane, the
control plane required atleast some minimum level of metadata to be sent outside the
corporate firewall.
As the customer requirement is pretty clear about the data and metadata both to be within
the corporate firewall, even though customer wants to move to production as quickly as
possible, unfortunately due to the nature of their security requirements, they have no other
option but to go with manually provisioned customer-hosted runtime plane and customerhosted
control plane.

An auto manufacturer has a mature CI/CD practice and wants to automate packaging and deployment of any Mule applications to various deployment targets, including CloudHub workers/replicas, customer-hosted Mule runtimes, and Anypoint Runtime Fabric. Which MuleSoft-provided tool or component facilitates automating the packaging and deployment of Mule applications to various deployment targets as part of the company's CI/CD practice?


A. Anypoint Runtime Manager


B. Mule Maven plugin


C. Anypoint Platform CLI


D. Anypoint Platform REST APIs





B.
  Mule Maven plugin

Explanation:
For organizations with established CI/CD practices, the Mule Maven plugin is the recommended tool for automating packaging and deployment across multiple environments, including CloudHub, on-premise Mule runtimes, and Anypoint Runtime Fabric. Here’s why:

  • Automation with Maven:
  • Supported Deployment Targets:
  • Why Option B is Correct:
  • Explanation of Incorrect Options:
References:
For more details, refer to MuleSoft documentation on using the Mule Maven plugin for CI/CD.

An Order API triggers a sequence of other API calls to look up details of an order's items in a back-end inventory database. The Order API calls the OrderItems process API, which calls the Inventory system API. The Inventory system API performs database operations in the back-end inventory database.
The network connection between the Inventory system API and the database is known to be unreliable and hang at unpredictable times.
Where should a two-second timeout be configured in the API processing sequence so that the Order API never waits more than two seconds for a response from the Orderltems process API?


A. In the Orderltems process API implementation


B. In the Order API implementation


C. In the Inventory system API implementation


D. In the inventory database





A.
  In the Orderltems process API implementation

Refer to the exhibit.



A.

Option A


B.

Option B


C.

Option C


D.

Option D





A.
  

Option A



Explanation: Explanation
Correct Answer: Ask the Marketing Department to interact with a mocking implementation
of the API using the automatically generated API Console.
*****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to
Anypoint Exchange which also will be rich in documentation covering all details of API
functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the
API using its mocking feature. The feedback can be shared quickly on the same to
incorporate any changes.

 

Which APIs can be used with DataGraph to create a unified schema?


A. APIs 1, 3, 5


B. APIs 2, 4 ,6


C. APIs 1, 2, s5, 6


D. APIs 1, 2, 3, 4





D.
  APIs 1, 2, 3, 4

Explanation:
To create a unified schema in MuleSoft's DataGraph, APIs must be exposed in a way that allows DataGraph to pull and consolidate data from these APIs into a single schema accessible to consumers. DataGraph provides a federated approach, combining multiple APIs to form a single, unified API endpoint.
In this setup:
APIs 1, 2, 3, and 4 are suitable candidates for DataGraph because they are hosted within the Customer VPC on CloudHub and are accessible either through a Shared Load Balancer (LB) or a Dedicated Load Balancer (DLB). Both of these load balancers provide public access, which is a necessary condition for DataGraph as it must access the APIs to aggregate data.
APIs 5 and 6 are hosted on Customer Hosted Server 2, which is explicitly marked as "Not public". Since DataGraph requires API access through a publicly reachable endpoint to aggregate them into a unified schema, APIs 5 and 6 cannot be used with DataGraph in this configuration.
APIs 3 and 4 on Customer Hosted Server 1 appear accessible through a Shared LB, implying public accessibility that meets DataGraph’s requirements.
By combining APIs 1, 2, 3, and 4 within DataGraph, you can create a unified schema that enables clients to query data seamlessly from all these APIs as if it were from a single source.
This setup allows for efficient data retrieval and can simplify API consumption by reducing the need to call multiple APIs individually, thus optimizing performance and developer experience.


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