Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 26-Nov-2025



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What is a key requirement when using an external Identity Provider for Client Management in Anypoint Platform?


A.

Single sign-on is required to sign in to Anypoint Platform


B.

The application network must include System APIs that interact with the Identity
Provider


C.

To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider


D.

APIs managed by Anypoint Platform must be protected by SAML 2.0 policies





C.
  

To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider



Explanation: https://www.folkstalk.com/2019/11/mulesoft-integration-and-platform.html
Explanation
Correct Answer: To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API
clients must submit access tokens issued by that same Identity Provider
*****************************************
>> It is NOT necessary that single sign-on is required to sign in to Anypoint Platform
because we are using an external Identity Provider for Client Management
>> It is NOT necessary that all APIs managed by Anypoint Platform must be protected by
SAML 2.0 policies because we are using an external Identity Provider for Client
Management
>> Not TRUE that the application network must include System APIs that interact with the
Identity Provider because we are using an external Identity Provider for Client Management
Only TRUE statement in the given options is - "To invoke OAuth 2.0-protected APIs
managed by Anypoint Platform, API clients must submit access tokens issued by that same
Identity Provider"
References:
https://docs.mulesoft.com/api-manager/2.x/external-oauth-2.0-token-validation-policy
https://blogs.mulesoft.com/dev/api-dev/api-security-ways-to-authenticate-and-authorize/

Refer to the exhibit.


What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level
B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs
C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)
D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs


A. Option A


B. Option B


C. Option C


D. Option D





B.
  Option B

Explanation:
Correct Answer: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.

  • All customizations for the end-user application should be handled in "Experience API" only. Not in Process API
  • We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.
  • Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.
So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.

Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?


A.

Experience Layer


B.

Process Layer


C.

System Layer





C.
  

System Layer



Explanation: Explanation
Correct Answer: System Layer

Which component monitors APIs and endpoints at scheduled intervals, receives reports about whether tests pass or fail, and displays statistics about API and endpoint performance?


A. API Analytics


B. Anypoint Monitoring dashboards


C. APT Functional Monitoring


D. Anypoint Runtime Manager alerts





C.
  APT Functional Monitoring

Explanation:

  • Understanding API Functional Monitoring:
  • Component Features:
  • Evaluating the Options:
Conclusion:
Refer to MuleSoft documentation on API Functional Monitoring for further guidance on setting up and configuring these tests in Anypoint Platform.

Refer to the exhibit.

An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's
Mule applications are deployed to CloudHub in that region?


A.

Workers belonging to a given environment are assigned to the same AZ within that region


B.

AZs are selected as part of the Mule application's deployment configuration


C.

Workers are randomly distributed across available AZs within that region


D.

An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ





D.
  

An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ



Explanation: Explanation
Correct Answer: Workers are randomly distributed across available AZs within that region.
*****************************************
>> Currently, we only have control to choose which AWS Region to choose but there is no
control at all using any configurations or deployment options to decide what Availability
Zone (AZ) to assign to what worker.
>> There are NO fixed or implicit rules on platform too w.r.t assignment of AZ to workers
based on environment or application.
>> They are completely assigned in random. However, cloudhub definitely ensures that
HA is achieved by assigning the workers to more than on AZ so that all workers are not
assigned to same AZ for same application.
: https://help.mulesoft.com/s/question/0D52T000051rqDj/one-cloudhub-aws-region-howcloudhub-
workers-are-assigned-to-availability-zones-azs-
Graphical user interface, application
Description automatically generated
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Refer to the exhibit.

what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?


A.

Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications


B.

The MuleSoft-hosted Shared Load Balancer can be used to load balance API
invocations to the Mule runtimes


C.

API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane


D.

Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure





C.
  

API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane



Explanation: Explanation
Correct Answer: API implementations can run successfully in customer-hosted Mule
runtimes, even when they are unable to communicate with the control plane.
*****************************************
>> We CANNOT use Shared Load balancer to load balance APIs on customer hosted
runtimes

What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?


A.

A decrease in the number of connections within the application network supporting the business process


B.

A higher number of discoverable API-related assets in the application network


C.

A better response time for the end user as a result of the APIs being smaller in scope and complexity


D.

An overall tower usage of resources because each fine-grained API consumes less resources





B.
  

A higher number of discoverable API-related assets in the application network



Explanation: Explanation
Correct Answer: A higher number of discoverable API-related assets in the application
network.
*****************************************
>> We do NOT get faster response times in fine-grained approach when compared to
coarse-grained approach.
>> In fact, we get faster response times from a network having coarse-grained APIs
compared to a network having fine-grained APIs model. The reasons are below.
Fine-grained approach:
1. will have more APIs compared to coarse-grained
2. So, more orchestration needs to be done to achieve a functionality in business process.
3. Which means, lots of API calls to be made. So, more connections will needs to be
established. So, obviously more hops, more network i/o, more number of integration points
compared to coarse-grained approach where fewer APIs with bulk functionality embedded
in them.
4. That is why, because of all these extra hops and added latencies, fine-grained approach
will have bit more response times compared to coarse-grained.
5. Not only added latencies and connections, there will be more resources used up in finegrained
approach due to more number of APIs.
That's why, fine-grained APIs are good in a way to expose more number of resuable assets
in your network and make them discoverable. However, needs more maintenance, taking
care of integration points, connections, resources with a little compromise w.r.t network
hops and response times.

Which three tools automate the deployment of Mule applications? (Choose 3 answers)


A. Runtime Manager


B. Anypoint Platform CLI


C. Platform APIs


D. Anypoint Studio


E. Mule Mayen plugin


F. API Community Manager





A.
  Runtime Manager

B.
  Anypoint Platform CLI

C.
  Platform APIs

Explanation:
MuleSoft offers various tools to automate the deployment of Mule applications, which can streamline deployment and management processes. Here’s how each tool supports automated deployment:

  • Runtime Manager:
  • Anypoint Platform CLI:
  • Platform APIs:
  • Explanation of Incorrect Options:
References:
For detailed steps on automating deployments with these tools, refer to MuleSoft documentation on Runtime Manager, CLI, and Platform APIs.


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