Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 20-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.

Why leave your success to chance? Our Mulesoft MCPA-Level-1 dumps are your ultimate guide to passing the exam on your first try!

A Mule application exposes an HTTPS endpoint and is deployed to the CloudHub Shared Worker Cloud. All traffic to that Mule application must stay inside the AWS VPC. To what TCP port do API invocations to that Mule application need to be sent?


A. 443


B. 8081


C. 8091


D. 8082





D.
  8082

Explanation:
Correct Answer: 8082

  • 8091 and 8092 ports are to be used when keeping your HTTP and HTTPS app private to the LOCAL VPC respectively.
  • Above TWO ports are not for Shared AWS VPC/ Shared Worker Cloud.
  • 8081 is to be used when exposing your HTTP endpoint app to the internet through Shared LB
  • 8082 is to be used when exposing your HTTPS endpoint app to the internet through Shared LB
So, API invocations should be sent to port 8082 when calling this HTTPS based app.

An operations team is analyzing the effort needed to set up monitoring of their application network. They are looking at which API invocation metrics can be used to identify and predict trouble without having to write custom scripts or install additional analytics software or tools. Which type of metrics can satisfy this goal of directly identifying and predicting failures?


A. The number and types of API policy violations per day


B. The effectiveness of the application network based on the level of reuse


C. The number and types of past API invocations across the application network


D. The ROI from each APT invocation





A.
  The number and types of API policy violations per day

Explanation:
To monitor an application network and predict issues without custom scripts, policy violation metrics are critical. They provide insights into potential problems by tracking instances where API usage does not conform to defined policies. Here’s why this approach is suitable:

  • Predictive Monitoring:
  • No Custom Scripting Needed:
  • Explanation of Incorrect Options:

A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems — a life-insurance administration system and a general-insurance administration system — and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI). The architect wants to break up the monolithic web service to follow API-led conventions. Which part of the service should be put into the process layer?


A. Combining the insurance policy information from the administration systems


B. Presenting the SOAP-based response to the UI


C. Authenticating and maintaining connections to each of the back-end administration systems


D. Querying the data from the administration systems





A.
  Combining the insurance policy information from the administration systems

Explanation:
In the API-led connectivity approach, each layer (System, Process, and Experience) has a distinct purpose:

  • System APIs: These APIs connect directly to backend systems to expose and unlock data in a standardized way.
  • Process APIs: These are responsible for orchestrating and processing data across different systems, combining information where needed.
  • Experience APIs: These are designed for specific user interfaces or applications, often transforming data formats to fit the needs of each consumer application.
Why Option A is Correct:
  • Process APIs are designed to combine data from multiple systems, which aligns with the function of aggregating policy information from both the life and general insurance systems. This aggregation logic would ideally reside in the Process layer, separating data retrieval from data orchestration.
  • Moving this functionality to the Process layer enables reusability and modularity, as other Experience APIs or services could also leverage the combined policy data if needed.
Explanation of Incorrect Options:
  • Option B (Presenting the SOAP-based response) would be managed by the Experience layer, as this layer adapts data formats for specific interfaces.
  • Option C (Authenticating and maintaining backend connections) would typically be handled within the System layer, where backend integration and security handling occurs.
  • Option D (Querying data) is the function of System APIs, which access the backend systems directly and expose the raw data without additional processing.

A set of tests must be performed prior to deploying API implementations to a staging
environment. Due to data security and access restrictions, untested APIs cannot be
granted access to the backend systems, so instead mocked data must be used for these
tests. The amount of available mocked data and its contents is sufficient to entirely test the
API implementations with no active connections to the backend systems. What type of
tests should be used to incorporate this mocked data?


A.

Integration tests


B.

Performance tests


C.

Functional tests (Blackbox)


D.

Unit tests (Whitebox)





D.
  

Unit tests (Whitebox)



Explanation: Explanation
Correct Answer: Unit tests (Whitebox)
*****************************************
Reference: https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies
As per general IT testing practice and MuleSoft recommended practice, Integration and
Performance tests should be done on full end to end setup for right evaluation. Which
means all end systems should be connected while doing the tests. So, these options are
OUT and we are left with Unit Tests and Functional Tests.
As per attached reference documentation from MuleSoft:
Unit Tests - are limited to the code that can be realistically exercised without the need to
run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows,
Custom transformers, Custom components, Custom expression evaluators etc.
Functional Tests - are those that most extensively exercise your application configuration.
In these tests, you have the freedom and tools for simulating happy and unhappy paths.
You also have the possibility to create stubs for target services and make them success or
fail to easily simulate happy and unhappy paths respectively.
As the scenario in the question demands for API implementation to be tested before
deployment to Staging and also clearly indicates that there is enough/ sufficient amount of
mock data to test the various components of API implementations with no active
connections to the backend systems, Unit Tests are the one to be used to incorporate this

An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to
3.2.0 following accepted semantic versioning practices and the changes have been
communicated via the APIs public portal. The API endpoint does NOT change in the new
version. How should the developer of an API client respond to this change?


A.

The API producer should be requested to run the old version in parallel with the new one


B.

The API producer should be contacted to understand the change to existing functionality


C.

The API client code only needs to be changed if it needs to take advantage of the new features


D.

The API clients need to update the code on their side and need to do full regression





C.
  

The API client code only needs to be changed if it needs to take advantage of the new features



A company requires Mule applications deployed to CloudHub to be isolated between nonproduction
and production environments. This is so Mule applications deployed to nonproduction
environments can only access backend systems running in their customerhosted
non-production environment, and so Mule applications deployed to production
environments can only access backend systems running in their customer-hosted
production environment. How does MuleSoft recommend modifying Mule applications,
configuring environments, or changing infrastructure to support this type of perenvironment
isolation between Mule applications and backend systems?


A.

Modify properties of Mule applications deployed to the production Anypoint Platform
environments to prevent access from non-production Mule applications


B.

Configure firewall rules in the infrastructure inside each customer-hosted environment so
that only IP addresses from the corresponding Anypoint Platform environments are allowed
to communicate with corresponding backend systems


C.

Create non-production and production environments in different Anypoint Platform
business groups


D.

Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted
environments





D.
  

Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted
environments



Explanation: Explanation
Correct Answer: Create separate Anypoint VPCs for non-production and production
environments, then configure connections to the backend systems in the corresponding
customer-hosted environments.
*****************************************
>> Creating different Business Groups does NOT make any difference w.r.t accessing the
non-prod and prod customer-hosted environments. Still they will be accessing from both
Business Groups unless process network restrictions are put in place.
>> We need to modify or couple the Mule Application Implementations with the
environment. In fact, we should never implements application coupled with environments
by binding them in the properties. Only basic things like endpoint URL etc should be
bundled in properties but not environment level access restrictions.
>> IP addresses on CloudHub are dynamic until unless a special static addresses are
assigned. So it is not possible to setup firewall rules in customer-hosted infrastrcture. More
over, even if static IP addresses are assigned, there could be 100s of applications running
on cloudhub and setting up rules for all of them would be a hectic task, non-maintainable
and definitely got a good practice.
>> The best practice recommended by Mulesoft (In fact any cloud provider), is to have
your Anypoint VPCs seperated for Prod and Non-Prod and perform the VPC peering or
VPN tunneling for these Anypoint VPCs to respective Prod and Non-Prod customer-hosted
environment networks.
: https://docs.mulesoft.com/runtime-manager/virtual-private-cloud
Bottom of Form
Top of Form

Which of the below, when used together, makes the IT Operational Model effective?


A.

Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not


B.

Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics


C.

Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs





C.
  

Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs



Explanation: Explanation
Correct Answer: Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.

Diagram, arrow
Description automatically generated

An Anypoint Platform organization has been configured with an external identity provider (IdP) for identity management and client management. What credentials or token must be provided to Anypoint CLI to execute commands against the Anypoint Platform APIs?


A.

The credentials provided by the IdP for identity management


B.

The credentials provided by the IdP for client management


C.

An OAuth 2.0 token generated using the credentials provided by the IdP for client management


D.

An OAuth 2.0 token generated using the credentials provided by the IdP for identity management





A.
  

The credentials provided by the IdP for identity management



Explanation: Explanation
Correct Answer: The credentials provided by the IdP for identity management
*****************************************
Reference: https://docs.mulesoft.com/runtime-manager/anypoint-platformcli#
authentication
>> There is no support for OAuth 2.0 tokens from client/identity providers to authenticate
via Anypoint CLI. Only possible tokens are "bearer tokens" that too only generated using
Anypoint Organization/Environment Client Id and Secret from
https://anypoint.mulesoft.com/accounts/login. Not the client credentials of client provider.
So, OAuth 2.0 is not possible. More over, the token is mainly for API Manager purposes
and not associated with a user. You can NOT use it to call most APIs (for example
Cloudhub and etc) as per this Mulesoft Knowledge article.
>> The other option allowed by Anypoint CLI is to use client credentials. It is possible to
use client credentials of a client provider but requires setting up Connected Apps in client
management but such details are not given in the scenario explained in the question.
>> So only option left is to use user credentials from identify provider


Page 1 out of 19 Pages