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Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 21-Jan-2026



Mulesoft MCPA-Level-1 exam questions feature realistic, exam-like questions that cover all key topics with detailed explanations. You’ll identify your strengths and weaknesses, allowing you to focus your study efforts effectively. By practicing with our MCPA-Level-1 practice test, you’ll gain the knowledge, speed, and confidence needed to pass the Mulesoft exam on your first attempt.

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A company uses a hybrid Anypoint Platform deployment model that combines the EU
control plane with customer-hosted Mule runtimes. After successfully testing a Mule API
implementation in the Staging environment, the Mule API implementation is set with
environment-specific properties and must be promoted to the Production environment.
What is a way that MuleSoft recommends to configure the Mule API implementation and
automate its promotion to the Production environment?


A.

Bundle properties files for each environment into the Mule API implementation's deployable
archive, then promote the Mule API implementation to the Production environment using
Anypoint CLI or the Anypoint Platform REST APIsB.


B.

Modify the Mule API implementation's properties in the API Manager Properties tab, then
promote the Mule API implementation to the Production environment using API Manager


C.

Modify the Mule API implementation's properties in Anypoint Exchange, then promote the
Mule API implementation to the Production environment using Runtime Manager


D.

Use an API policy to change properties in the Mule API implementation deployed to the
Staging environment and another API policy to deploy the Mule API implementation to the
Production environment





A.   

Bundle properties files for each environment into the Mule API implementation's deployable
archive, then promote the Mule API implementation to the Production environment using
Anypoint CLI or the Anypoint Platform REST APIsB.



Explanation: Explanation
Correct Answer: Bundle properties files for each environment into the Mule API
implementation's deployable archive, then promote the Mule API implementation to the
Production environment using Anypoint CLI or the Anypoint Platform REST APIs
*****************************************
>> Anypoint Exchange is for asset discovery and documentation. It has got no provision to
modify the properties of Mule API implementations at all.
>> API Manager is for managing API instances, their contracts, policies and SLAs. It has
also got no provision to modify the properties of API implementations.
>> API policies are to address Non-functional requirements of APIs and has again got no
provision to modify the properties of API implementations.
So, the right way and recommended way to do this as part of development practice is to
bundle properties files for each environment into the Mule API implementation and just
point and refer to respective file per environment.

The asset version 2.0.0 of the Order API is successfully published in Exchange and configured in API Manager with the Autodiscovery API ID correctly linked to the API implementation, A new GET method is added to the existing API specification, and after updates, the asset version of the Order API is 2.0.1. What happens to the Autodiscovery API ID when the new asset version is updated in API Manager?


A. The API ID changes, but no changes are needed to the API implementation for the new asset version in the API Autediscovery global element because the API ID is automatically updated


B. The APL ID changes, so the API implementation must be updated with the latest API ID for the new asset version in the API Autodiscovery global element


C. The APLID does not change, so no changes to the APT implementation are needed for the new asset version in the API Autodiscovery global element


D. The APL ID does not change, but the API implementation must be updated in the AP] Autodiscovery global element to indicate the new asset version 2.0.4





C.   The APLID does not change, so no changes to the APT implementation are needed for the new asset version in the API Autodiscovery global element

Explanation:
Understanding API Autodiscovery in MuleSoft:
Effect of Asset Version Update on API Autodiscovery:
Evaluating the Options:

What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?


A.

A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design


B.

The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region


C.

The FQDNs are determined by the application name, but can be modified by an
administrator after deployment


D.

The FQDNs are determined by both the application name and the Anypoint Platform
organization





B.   

The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region



Explanation: Explanation
Correct Answer: The FQDNs are determined by the application name chosen,
IRRESPECTIVE of the region
*****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always
determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it
(Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be
used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization
and solely determines the FQDN for Shared Load Balancers

A large lending company has developed an API to unlock data from a database server and web server. The API has been deployed to Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0. The database server and web server are in the customer's secure network and are not accessible through the public internet. The database server is in the customer's AWS VPC, whereas the web server is in the customer's on-premises corporate data center. How can access be enabled for the API to connect with the database server and the web server?


A. Set up VPC peering with AWS VPC and a VPN tunnel to the customer's on-premises corporate data center


B. Set up VPC peering with AWS VPC and the customer's on-premises corporate data center


C. Setup a transit gateway to the customer's on-premises corporate data center through AWS VPC


D. Set up VPC peering with the customer's on-premises corporate data center and a VPN tunnel to AWS VPC





A.   Set up VPC peering with AWS VPC and a VPN tunnel to the customer's on-premises corporate data center

Explanation:

  • Scenario Overview:
  • Connectivity Requirements:
  • Analysis of Options:
Conclusion:
For more detailed reference, MuleSoft documentation on Anypoint VPC peering and VPN connectivity provides additional context on best practices for setting up these connections within a hybrid network infrastructure.

Refer to the exhibit.


Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget.
In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices
C) Build all API data models using XML schema to drive consistency and reuse across the organization
D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant


A. Option A


B. Option B


C. Option C


D. Option D





A.   Option A

Explanation:

  • Correct Answer: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
  • The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
  • Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.

What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?


A.

Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs


B.

Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes


C.

By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications


D.

API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions





C.   

By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications



Explanation: Explanation
Correct Answer: By default, the Anypoint CLI and Mule Maven plugin are NOT included in
the Mule runtime, so are NOT available to be used by deployed Mule applications
*****************************************
>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our
custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub
and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is
FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule
runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory
requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately
control access for some users to have Anypoint CLI and others to have Anypoint Platform
APIs. With proper general roles/permissions (API Owner, Cloudhub Admin etc..), one can
use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is
FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin
are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule
applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or
automation.

What correctly characterizes unit tests of Mule applications?


A.

They test the validity of input and output of source and target systems


B.

They must be run in a unit testing environment with dedicated Mule runtimes for the environment


C.

They must be triggered by an external client tool or event source


D.

They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity





D.   

They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity



Explanation: Explanation
Correct Answer: They are typically written using MUnit to run in an embedded Mule runtime
that does not require external connectivity.
*****************************************
Below TWO are characteristics of Integration Tests but NOT unit tests:
>> They test the validity of input and output of source and target systems.
>> They must be triggered by an external client tool or event source.
It is NOT TRUE that Unit Tests must be run in a unit testing environment with dedicated
Mule runtimes for the environment.
MuleSoft offers MUnit for writing Unit Tests and they run in an embedded Mule Runtime
without needing any separate/ dedicated Runtimes to execute them. They also do NOT
need any external connectivity as MUnit supports mocking via stubs.
https://dzone.com/articles/munit-framework

An established communications company is beginning its API-led connectivity journey, The company has been using a successful Enterprise Data Model for many years. The company has identified a self-service account management app as the first effort for APIled, and it has identified the following APIs.

  • Experience layer: Mobile Account Management EAPI, Browser Account Management EAPI
  • Process layer: Customer Lookup PAPI, Service Lookup PAPI, Account Lookup PAPI
  • System layer: Customer SAPI, Account SAPI, Product SAPI, Service SAPI
According to MuleSoft's API-led connectivity approach, which API would not be served by the Enterprise Data Model?


A. Customer SAPI


B. Customer Lookup PAPI


C. Mobile Account Management EAPI


D. Service SAPI





C.   Mobile Account Management EAPI

Explanation: In the API-led connectivity approach, APIs are categorized into Experience, Process, and System layers:
Enterprise Data Model Scope:
Why Option C is Correct:
Explanation of Incorrect Options:
References:
For additional guidance, review MuleSoft's best practices on API-led connectivity and data modeling.


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