Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 21-Jan-2026



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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.

An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where
the alert conditions depend on the end-to-end request processing of the API
implementation?


A.

When the API is invoked by an unrecognized API client


B.

When a particular API client invokes the API too often within a given time period


C.

When the response time of API invocations exceeds a threshold


D.

When the API receives a very high number of API invocations





C.
  

When the response time of API invocations exceeds a threshold



Explanation: Explanation
Correct Answer: When the response time of API invocations exceeds a threshold
*****************************************
>> Alerts can be setup for all the given options using the default Anypoint Platform
functionality
>> However, the question insists on an alert whose conditions depend on the end-to-end
request processing of the API implementation.
>> Alert w.r.t "Response Times" is the only one which requires end-to-end request
processing of API implementation in order to determine if the threshold is exceeded or not.
Reference: https://docs.mulesoft.com/api-manager/2.x/using-api-alerts

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:

A large lending company has developed an API to unlock data from a database server and web server. The API has been deployed to Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0. The database server and web server are in the customer's secure network and are not accessible through the public internet. The database server is in the customer's AWS VPC, whereas the web server is in the customer's on-premises corporate data center. How can access be enabled for the API to connect with the database server and the web server?


A. Set up VPC peering with AWS VPC and a VPN tunnel to the customer's on-premises corporate data center


B. Set up VPC peering with AWS VPC and the customer's on-premises corporate data center


C. Setup a transit gateway to the customer's on-premises corporate data center through AWS VPC


D. Set up VPC peering with the customer's on-premises corporate data center and a VPN tunnel to AWS VPC





A.
  Set up VPC peering with AWS VPC and a VPN tunnel to the customer's on-premises corporate data center

Explanation:

  • Scenario Overview:
  • Connectivity Requirements:
  • Analysis of Options:
Conclusion:
For more detailed reference, MuleSoft documentation on Anypoint VPC peering and VPN connectivity provides additional context on best practices for setting up these connections within a hybrid network infrastructure.

Traffic is routed through an API proxy to an API implementation. The API proxy is managed
by API Manager and the API implementation is deployed to a CloudHub VPC using
Runtime Manager. API policies have been applied to this API. In this deployment scenario,
at what point are the API policies enforced on incoming API client requests?


A.

At the API proxy


B.

At the API implementation


C.

At both the API proxy and the API implementation


D.

At a MuleSoft-hosted load balancer





A.
  

At the API proxy



Explanation: Explanation
Correct Answer: At the API proxy
*****************************************
>> API Policies can be enforced at two places in Mule platform.
>> One - As an Embedded Policy enforcement in the same Mule Runtime where API
implementation is running.
>> Two - On an API Proxy sitting in front of the Mule Runtime where API implementation is
running.
>> As the deployment scenario in the question has API Proxy involved, the policies will be
enforced at the API Proxy.

What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?


A.

Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs


B.

Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes


C.

By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications


D.

API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions





C.
  

By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications



Explanation: Explanation
Correct Answer: By default, the Anypoint CLI and Mule Maven plugin are NOT included in
the Mule runtime, so are NOT available to be used by deployed Mule applications
*****************************************
>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our
custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub
and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is
FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule
runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory
requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately
control access for some users to have Anypoint CLI and others to have Anypoint Platform
APIs. With proper general roles/permissions (API Owner, Cloudhub Admin etc..), one can
use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is
FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin
are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule
applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or
automation.

A circuit breaker strategy is planned in order to meet the goal of improved response time and demand on a downstream API.

  • Circuit Open: More than 10 errors per minute for three minutes
  • Circuit Half-Open: One error per minute
  • Circuit Closed: Less than one error per minute for five minutes
Out of several proposals from the engineering team, which option will meet this goal?


A. Create a custom policy that implements the circuit breaker and includes policy template expressions for the required settings


B. Create Anypoint Monitoring alerts for Circuit Open/Closed configurations, and then implement a retry strategy for Circuit Half-Open configuration


C. Add the Circuit Breaker policy to the API instance, and configure the required settings


D. Implement the strategy in a Mule application, and provide the settings in the YAML configuration





C.
  Add the Circuit Breaker policy to the API instance, and configure the required settings

An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist
the cache's state?


A.

When there are three CloudHub deployments of the API implementation to three
separate CloudHub regions that must share the cache state


B.

When there are two CloudHub deployments of the API implementation by two Anypoint
Platform business groups to the same CloudHub region that must share the cache state


C.

When there is one deployment of the API implementation to CloudHub and anottV
deployment to a customer-hosted Mule runtime that must share the cache state


D.

When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state





D.
  

When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state



Explanation: Explanation
Correct Answer: When there is one CloudHub deployment of the API implementation to
three CloudHub workers that must share the cache state.
*****************************************
Key details in the scenario:
>> Use the CloudHub Object Store via the Object Store connector
Considering above details:
>> CloudHub Object Stores have one-to-one relationship with CloudHub Mule Applications.
>> We CANNOT use an application's CloudHub Object Store to be shared among multiple
Mule applications running in different Regions or Business Groups or Customer-hosted
Mule Runtimes by using Object Store connector.
>> If it is really necessary and very badly needed, then Anypoint Platform supports a way
by allowing access to CloudHub Object Store of another application using Object Store
REST API. But NOT using Object Store connector.
So, the only scenario where we can use the CloudHub Object Store via the Object Store
connector to persist the cache’s state is when there is one CloudHub deployment of the
API implementation to multiple CloudHub workers that must share the cache state


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