Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 29-Jan-2026



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A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients. How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?


A. Keep the Rate Limiting policy and add 9 Client ID Enforcement policy


B. Remove the Rate Limiting policy and add an HTTP Caching policy


C. Remove the Rate Limiting policy and add a Spike Control policy


D. Keep the Rate Limiting policy and add an SLA-based Spike Control policy





D.
  Keep the Rate Limiting policy and add an SLA-based Spike Control policy

Explanation:
When managing high traffic to an API, especially with POST requests, it is crucial to ensure the API’s policies both protect the back-end systems and provide a smooth client experience. Here’s the approach to reducing errors:
Rate Limiting Policy: This policy enforces a limit on the number of requests within a defined time period. However, rate limiting alone may cause clients to hit limits during demand surges, leading to errors.

  • Adding an SLA-based Spike Control Policy:
  • Why Option D is Correct:
  • Explanation of Incorrect Options:

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 organization has implemented a Customer Address API to retrieve customer address
information. This API has been deployed to multiple environments and has been configured
to enforce client IDs everywhere.
A developer is writing a client application to allow a user to update their address. The
developer has found the Customer Address API in Anypoint Exchange and wants to use it
in their client application.
What step of gaining access to the API can be performed automatically by Anypoint
Platform?


A.

Approve the client application request for the chosen SLA tier


B.

Request access to the appropriate API Instances deployed to multiple environments using the client application's credentials


C.

Modify the client application to call the API using the client application's credentials


D.

Create a new application in Anypoint Exchange for requesting access to the API





A.
  

Approve the client application request for the chosen SLA tier



Explanation: Explanation
Correct Answer: Approve the client application request for the chosen SLA tier
*****************************************
>> Only approving the client application request for the chosen SLA tier can be automated
>> Rest of the provided options are not valid
Reference: https://docs.mulesoft.com/api-manager/2.x/defining-sla-tiers#defining-a-tier

A retail company with thousands of stores has an API to receive data about purchases and
insert it into a single database. Each individual store sends a batch of purchase data to the
API about every 30 minutes. The API implementation uses a database bulk insert
command to submit all the purchase data to a database using a custom JDBC driver
provided by a data analytics solution provider. The API implementation is deployed to a
single CloudHub worker. The JDBC driver processes the data into a set of several
temporary disk files on the CloudHub worker, and then the data is sent to an analytics
engine using a proprietary protocol. This process usually takes less than a few minutes.
Sometimes a request fails. In this case, the logs show a message from the JDBC driver
indicating an out-of-file-space message. When the request is resubmitted, it is successful.
What is the best way to try to resolve this throughput issue?


A.

se a CloudHub autoscaling policy to add CloudHub workers


B.

Use a CloudHub autoscaling policy to increase the size of the CloudHub worker


C.

Increase the size of the CloudHub worker(s)


D.

Increase the number of CloudHub workers





D.
  

Increase the number of CloudHub workers



Explanation: Explanation
Correct Answer: Increase the size of the CloudHub worker(s)
*****************************************
The key details that we can take out from the given scenario are:
>> API implementation uses a database bulk insert command to submit all the purchase
data to a database
>> JDBC driver processes the data into a set of several temporary disk files on the
CloudHub worker
>> Sometimes a request fails and the logs show a message indicating an out-of-file-space
message
Based on above details:
>> Both auto-scaling options does NOT help because we cannot set auto-scaling rules
based on error messages. Auto-scaling rules are kicked-off based on CPU/Memory usages
and not due to some given error or disk space issues.
>> Increasing the number of CloudHub workers also does NOT help here because the
reason for the failure is not due to performance aspects w.r.t CPU or Memory. It is due to
disk-space.
>> Moreover, the API is doing bulk insert to submit the received batch data. Which means,
all data is handled by ONE worker only at a time. So, the disk space issue should be
tackled on "per worker" basis. Having multiple workers does not help as the batch may still
fail on any worker when disk is out of space on that particular worker.
Therefore, the right way to deal this issue and resolve this is to increase the vCore size of
the worker so that a new worker with more disk space will be provisioned.

4 Production environment is running on a dedicated Virtual Private Cloud (VPC) on CloudHub 1,0, and the security team guidelines clearly state no traffic on HTTP. Which two options support these security guidelines?


A. Option A


B. Option B


C. Option C


D. Option D


E. Option E





A.
  Option A

C.
  Option C

Select the correct Owner-Layer combinations from below options


A.

1. App Developers owns and focuses on Experience Layer APIs
2. Central IT owns and focuses on Process Layer APIs
3. LOB IT owns and focuses on System Layer APIs


B.

1. Central IT owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. App Developers owns and focuses on System Layer APIs


C.

1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs





C.
  

1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs



Explanation: Explanation
Correct Answer:
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs

References:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership

A business process is being implemented within an organization's application network. The architecture group proposes using a more coarse-grained application network design with relatively fewer APIs deployed to the application network compared to a more fine-grained design. Overall, which factor typically increases with a more coarse-grained design for this business process implementation and deployment compared with using a more finegrained design?


A. The complexity of each API implementation


B. The number of discoverable assets related to APIs deployed in the application network


C. The number of possible connections between API implementations in the application network


D. The usage of network infrastructure resources by the application network





A.
  The complexity of each API implementation

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


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