Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 15-Dec-2025



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A customer wants to monitor and gain insights about the number of requests coming in a given time period as well as to measure key performance indicators (response times, CPU utilization, number of active APIs).
Which tool provides these data insights?


A. Anypoint Monitoring


B. APT Manager


C. Runtime Alerts


D. Functional Monitoring





A.
  Anypoint Monitoring

Which of the below, when used together, makes the IT Operational Model effective?


A.

Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not


B.

Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics


C.

Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs





C.
  

Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs



Explanation: Explanation
Correct Answer: Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.

Diagram, arrow
Description automatically generated

A client has several applications running on the Salesforce service cloud. The business requirement for integration is to get daily data changes from Account and Case Objects. Data needs to be moved to the client's private cloud AWS DynamoDB instance as a single JSON and the business foresees only wanting five attributes from the Account object, which has 219 attributes (some custom) and eight attributes from the Case Object. What design should be used to support the API/ Application data model?


A. Create separate entities for Account and Case Objects by mimicking all the attributes in SAPI, which are combined by the PAPI and filtered to provide JSON output containing 13 attributes.


B. Request client’s AWS project team to replicate all the attributes and create Account and Case JSON table in DynamoDB. Then create separate entities for Account and Case Objects by mimicking all the attributes in SAPI to transfer ISON data to DynamoD for respective Objects


C. Start implementing an Enterprise Data Model by defining enterprise Account and Case Objects and implement SAPI and DynamoDB tables based on the Enterprise Data Model,


D. Create separate entities for Account with five attributes and Case with eight attributes in SAPI, which are combined by the PAPI to provide JSON output containing 13 attributes.





D.
  Create separate entities for Account with five attributes and Case with eight attributes in SAPI, which are combined by the PAPI to provide JSON output containing 13 attributes.

An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?


A.

Anypoint Runtime Fabric


B.

Anypoint Platform for Pivotal Cloud Foundry


C.

CloudHub


D.

A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes





A.
  

Anypoint Runtime Fabric



Explanation: Explanation
Correct Answer: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal
approach to go with hybrid model having some Mule Runtimes hosted on Azure and some
on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to
point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by
Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the
deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs
within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and
bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.
Reference: https://docs.mulesoft.com/runtime-fabric/1.7/

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

An API implementation is being designed that must invoke an Order API, which is known to
repeatedly experience downtime.
For this reason, a fallback API is to be called when the Order API is unavailable.
What approach to designing the invocation of the fallback API provides the best resilience?


A.

Search Anypoint Exchange for a suitable existing fallback API, and then implement
invocations to this fallback API in addition to the Order API


B.

Create a separate entry for the Order API in API Manager, and then invoke this API as a
fallback API if the primary Order API is unavailable


C.

Redirect client requests through an HTTP 307 Temporary Redirect status code to the
fallback API whenever the Order API is unavailable


D.

Set an option in the HTTP Requester component that invokes the Order API to instead
invoke a fallback API whenever an HTTP 4xx or 5xx response status code is returned from
the Order API





A.
  

Search Anypoint Exchange for a suitable existing fallback API, and then implement
invocations to this fallback API in addition to the Order API



Explanation: Explanation
Correct Answer: Search Anypoint exchange for a suitable existing fallback API, and then
implement invocations to this fallback API in addition to the order API
*****************************************
>> It is not ideal and good approach, until unless there is a pre-approved agreement with
the API clients that they will receive a HTTP 3xx temporary redirect status code and they
have to implement fallback logic their side to call another API.
>> Creating separate entry of same Order API in API manager would just create an
another instance of it on top of same API implementation. So, it does NO GOOD by using
clone od same API as a fallback API. Fallback API should be ideally a different API
implementation that is not same as primary one.
>> There is NO option currently provided by Anypoint HTTP Connector that allows us to
invoke a fallback API when we receive certain HTTP status codes in response.
The only statement TRUE in the given options is to Search Anypoint exchange for a
suitable existing fallback API, and then implement invocations to this fallback API in
addition to the order API.

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

A manufacturing company has deployed an API implementation to CloudHub and has not configured it to be automatically restarted by CloudHub when the worker is not responding. Which statement is true when no API Client invokes that API implementation?


A. No alert on the API invocations and APT implementation can be raised


B. Alerts on the APT invocation and API implementation can be raised


C. No alert on the API invocations is raised but alerts on the API implementation can be raised


D. Alerts on the API invocations are raised but no alerts on the API implementation can be raised





C.
  No alert on the API invocations is raised but alerts on the API implementation can be raised

Explanation:
When an API implementation is deployed on CloudHub without configuring automatic restarts in case of worker non-responsiveness, MuleSoft’s monitoring and alerting behavior is as follows:

  • API Invocation Alerts:
  • Implementation-Level Alerts:
  • Why Option C is Correct:
References:
For additional information, check MuleSoft documentation on CloudHub monitoring


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