Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 26-Nov-2025



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How are an API implementation, API client, and API consumer combined to invoke and process an API?


A.

The API consumer creates an API implementation, which receives API invocations from
an API such that they are processed for an API client


B.

The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation


C.

The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation


D.

The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation





C.
  

The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation



Explanation:
Explanation
Correct Answer: The API consumer creates an API client, which sends API invocations to
an API such that they are processed by an API implementation
*****************************************
Terminology:
>> API Client - It is a piece of code or program the is written to invoke an API
>> API Consumer - An owner/entity who owns the API Client. API Consumers write API
clients.
>> API - The provider of the API functionality. Typically an API Instance on API Manager
where they are managed and operated.
>> API Implementation - The actual piece of code written by API provider where the
functionality of the API is implemented. Typically, these are Mule Applications running on
Runtime Manager.

What API policy would be LEAST LIKELY used when designing an Experience API that is intended to work with a consumer mobile phone or tablet application?


A.

OAuth 2.0 access token enforcement


B.

Client ID enforcement


C.

JSON threat protection


D.

IPwhitellst





D.
  

IPwhitellst



Explanation: Explanation
Correct Answer: IP whitelist
*****************************************
>> OAuth 2.0 access token and Client ID enforcement policies are VERY common to apply
on Experience APIs as API consumers need to register and access the APIs using one of
these mechanisms
>> JSON threat protection is also VERY common policy to apply on Experience APIs to
prevent bad or suspicious payloads hitting the API implementations.
>> IP whitelisting policy is usually very common in Process and System APIs to only
whitelist the IP range inside the local VPC. But also applied occassionally on some
experience APIs where the End User/ API Consumers are FIXED.
>> When we know the API consumers upfront who are going to access certain Experience
APIs, then we can request for static IPs from such consumers and whitelist them to prevent
anyone else hitting the API.
However, the experience API given in the question/ scenario is intended to work with a
consumer mobile phone or tablet application. Which means, there is no way we can know
all possible IPs that are to be whitelisted as mobile phones and tablets can so many in
number and any device in the city/state/country/globe.
So, It is very LEAST LIKELY to apply IP Whitelisting on such Experience APIs whose
consumers are typically Mobile Phones or Tablets.

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



When can CloudHub Object Store v2 be used?


A. To store an unlimited number of key-value pairs


B. To store payloads with an average size greater than 15MB


C. To store information in Mule 4 Object Store v1


D. To store key-value pairs with keys up to 300 characters





D.
  To store key-value pairs with keys up to 300 characters

Explanation: CloudHub Object Store v2 is a managed key-value store provided by MuleSoft to support various use cases where temporary data storage is required. Here’s why Option D is correct:
Key Length Support: Object Store v2 allows storage of keys with a length of up to 300 characters, making it suitable for applications needing flexible and descriptive keys.
Limitations on Size:
Key-Value Limits: Object Store v2 is designed for moderate, transient storage needs, and does not support unlimited storage. Thus, Option A is incorrect.
Backward Compatibility: Object Store v2 does not support Mule 4 applications running Object Store v1. Option C is incorrect as Object Store v1 and v2 are distinct.

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.

An API experiences a high rate of client requests (TPS) vwth small message paytoads.
How can usage limits be imposed on the API based on the type of client application?


A.

Use an SLA-based rate limiting policy and assign a client application to a matching SLA
tier based on its type


B.

Use a spike control policy that limits the number of requests for each client application
type


C.

Use a cross-origin resource sharing (CORS) policy to limit resource sharing between
client applications, configured by the client application type


D.

Use a rate limiting policy and a client ID enforcement policy, each configured by the
client application type





A.
  

Use an SLA-based rate limiting policy and assign a client application to a matching SLA
tier based on its type



Explanation: Correct Answer: Use an SLA-based rate limiting policy and assign a client
application to a matching SLA tier based on its type.
*****************************************
>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client
type
Reference: https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-slabased-
policies

What is most likely NOT a characteristic of an integration test for a REST API
implementation?


A.

The test needs all source and/or target systems configured and accessible


B.

The test runs immediately after the Mule application has been compiled and packaged


C.

The test is triggered by an external HTTP request


D.

The test prepares a known request payload and validates the response payload





B.
  

The test runs immediately after the Mule application has been compiled and packaged



Explanation: Explanation
Correct Answer: The test runs immediately after the Mule application has been compiled
and packaged
*****************************************
>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So,
external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and
packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been
compiled and packaged.
Reference: https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies#integrationtesting

A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?


A.

Web Service Definition Language(WSDL)


B.

OpenAPI Specification (OAS)


C.

YAML


D.

AsyncAPI Specification





B.
  

OpenAPI Specification (OAS)




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