Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 13-Jan-2026



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True or False. We should always make sure that the APIs being designed and developed are self-servable even if it needs more man-day effort and resources.


A.

FALSE


B.

TRUE





B.
  

TRUE



Explanation: Explanation
Correct Answer: TRUE
*****************************************
>> As per MuleSoft proposed IT Operating Model, designing APIs and making sure that
they are discoverable and self-servable is VERY VERY IMPORTANT and decides the
success of an API and its application network.

Mule applications that implement a number of REST APIs are deployed to their own subnet
that is inaccessible from outside the organization.
External business-partners need to access these APIs, which are only allowed to be
invoked from a separate subnet dedicated to partners - called Partner-subnet. This subnet
is accessible from the public internet, which allows these external partners to reach it.
Anypoint Platform and Mule runtimes are already deployed in Partner-subnet. These Mule
runtimes can already access the APIs.
What is the most resource-efficient solution to comply with these requirements, while
having the least impact on other applications that are currently using the APIs?


A.

Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes


B.

Redeploy the API implementations to the same servers running the Mule runtimes


C.

Add an additional endpoint to each API for partner-enablement consumption


D.

Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes





A.
  

Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes



An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second. What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?


A. The application scalability threshold is five requests per second regardless of the horizontal scaling


B. The total process execution time is now 100 milliseconds (.1 seconds)


C. The application scalability threshold is now 10 requests per second


D. Horizontal scaling cannot be applied to an already-running application





A.
  The application scalability threshold is five requests per second regardless of the horizontal scaling

Explanation:
Given that the application is designed to handle only one process at a time to maintain data consistency, here’s why horizontal scaling won’t increase the processing limit:
Single-Process Constraint:

  • Execution Time:
  • Explanation of Correct Answer (A):
  • Explanation of Incorrect Options:

When designing an upstream API and its implementation, the development team has been
advised to NOT set timeouts when invoking a downstream API, because that downstream
API has no SLA that can be relied upon. This is the only downstream API dependency of
that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of
this advice?


A.

An SLA for the upstream API CANNOT be provided


B.

The invocation of the downstream API will run to completion without timing out


C.

A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes


D.

A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in
which the downstream API implementation executes





A.
  

An SLA for the upstream API CANNOT be provided



Explanation: Explanation
Correct Answer: An SLA for the upstream API CANNOT be provided.
*****************************************
>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10
seconds). NOT 500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such
behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always
guarantee that the invocation of the downstream API will run to completion without timing
out due to its unreliable SLA times. If the response time crosses 10 seconds then the
request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be
provided.
Reference: https://docs.mulesoft.com/http-connector/1.5/http-documentation#parameters-3

What CANNOT be effectively enforced using an API policy in Anypoint Platform?


A.

Guarding against Denial of Service attacks


B.

Maintaining tamper-proof credentials between APIs


C.

Logging HTTP requests and responses


D.

Backend system overloading





A.
  

Guarding against Denial of Service attacks



Explanation: Explanation
Correct Answer: Guarding against Denial of Service attacks
*****************************************
>> Backend system overloading can be handled by enforcing "Spike Control Policy"
>> Logging HTTP requests and responses can be done by enforcing "Message Logging
Policy"
>> Credentials can be tamper-proofed using "Security" and "Compliance" Policies
However, unfortunately, there is no proper way currently on Anypoint Platform to guard
against DOS attacks.
Reference: https://help.mulesoft.com/s/article/DDos-Dos-at

An online store's marketing team has noticed an increase in customers leaving online baskets without checking out. They suspect a technology issue is at the root cause of the baskets being left behind. They approach the Center for Enablement to ask for help identifying the issue. Multiple APIs from across all the layers of their application network are involved in the shopping application. Which feature of the Anypoint Platform can be used to view metrics from all involved APIs at the same time?


A. Custom dashboards


B. Built-in dashboards


C. Functional monitoring


D. API Manager





B.
  Built-in dashboards

Refer to the exhibit.



A.

Option A


B.

Option B


C.

Option C


D.

Option D





D.
  

Option D



Explanation: Explanation
Correct Answer: XML over HTTP
*****************************************
>> API-led connectivity and Application Networks urge to have the APIs on HTTP based
protocols for building most effective APIs and networks on top of them.
>> The HTTP based APIs allow the platform to apply various varities of policies to address
many NFRs
>> The HTTP based APIs also allow to implement many standard and effective
implementation patterns that adhere to HTTP based w3c rules

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.


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