Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 21-Jan-2026



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What is true about the technology architecture of Anypoint VPCs?


A.

The private IP address range of an Anypoint VPC is automatically chosen by CloudHub


B.

Traffic between Mule applications deployed to an Anypoint VPC and on-premises
systems can stay within a private network


C.

Each CloudHub environment requires a separate Anypoint VPC


D.

VPC peering can be used to link the underlying AWS VPC to an on-premises (non
AWS) private network





B.
  

Traffic between Mule applications deployed to an Anypoint VPC and on-premises
systems can stay within a private network



Explanation: Explanation
Correct Answer: Traffic between Mule applications deployed to an Anypoint VPC and onpremises
systems can stay within a private network
*****************************************
>> The private IP address range of an Anypoint VPC is NOT automatically chosen by
CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.
CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR)
notation.
For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses
from 10.111.0.0 to 10.111.0.255.
Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space,
and should not overlap with any other Anypoint VPC’s CIDR Blocks, or any CIDR Blocks in
use in your corporate network.

An eCommerce company is adding a new Product Details feature to their website, A customer will launch the product catalog page, a new Product Details link will appear by product where they can click to retrieve the product detail description. Product detail data is updated with product update releases, once or twice a year, Presently the database response time has been very slow due to high volume. What action retrieves the product details with the lowest response time, fault tolerant, and consistent data?


A. Select the product details from a database in a Cache scope and return them within the API response


B. Select the product details from a database and put them in Anypoint MQ; the Anypoint MO subseriber will receive the product details and return them within the API response


C. Use an object store to store and retrieve the product details originally read from a database and return them within the API response


D. Select the product details from a database and return them within the API response





C.
  Use an object store to store and retrieve the product details originally read from a database and return them within the API response

A customer has an ELA contract with MuleSoft. An API deployed to CloudHub is consistently experiencing performance issues. Based on the root cause analysis, it is determined that autoscaling needs to be applied. How can this be achieved?


A. Configure a policy so that when the number of HTTP requests reaches a certain threshold the number of workers/replicas increases (horizontal scaling)


B. Configure two separate policies: When CPU and memory reach certain threshold, increase the worker/replica type (vertical sealing) and the number of workers/replicas (horizontal sealing)


C. Configure a policy based on CPU usage so that CloudHub auto-adjusts the number of workers/replicas (horizontal scaling)


D. Configure a policy so that when the response time reaches a certain threshold the worker/replica type increases (vertical scaling)





C.
  Configure a policy based on CPU usage so that CloudHub auto-adjusts the number of workers/replicas (horizontal scaling)

Explanation:
In MuleSoft CloudHub, autoscaling is essential to managing application load efficiently. CloudHub supports horizontal scaling based on CPU usage, which is wellsuited to applications experiencing variable demand and needing responsive resource allocation.

  • Autoscaling on CloudHub:
  • Why Option C is Correct:
  • Explanation of Incorrect Options:
References
For more on CloudHub’s autoscaling configuration, refer to MuleSoft documentation on CloudHub autoscaling policies.

Version 3.0.1 of a REST API implementation represents time values in PST time using ISO 8601 hh:mm:ss format. The API implementation needs to be changed to instead represent time values in CEST time using ISO 8601 hh:mm:ss format. When following the semver.org semantic versioning specification, what version should be assigned to the updated API implementation?


A.

3.0.2


B.

4.0.0


C.

3.1.0


D.

3.0.1





B.
  

4.0.0



Explanation: Explanation
Correct Answer: 4.0.0
*****************************************
As per semver.org semantic versioning specification:
Given a version number MAJOR.MINOR.PATCH, increment the:
- MAJOR version when you make incompatible API changes.
- MINOR version when you add functionality in a backwards compatible manner.
- PATCH version when you make backwards compatible bug fixes.
As per the scenario given in the question, the API implementation is completely changing
its behavior. Although the format of the time is still being maintained as hh:mm:ss and there
is no change in schema w.r.t format, the API will start functioning different after this change
as the times are going to come completely different.
Example: Before the change, say, time is going as 09:00:00 representing the PST. Now on,
after the change, the same time will go as 18:00:00 as Central European Summer Time is
9 hours ahead of Pacific Time.
>> This may lead to some uncertain behavior on API clients depending on how they are
handling the times in the API response. All the API clients need to be informed that the API
functionality is going to change and will return in CEST format. So, this considered as a
MAJOR change and the version of API for this new change would be 4.0.0

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

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.

A Mule application implements an API. The Mule application has an HTTP Listener whose connector configuration sets the HTTPS protocol and hard-codes the port value. The Mule application is deployed to an Anypoint VPC and uses the CloudHub 1.0 Shared Load Balancer (SLB) for all incoming traffic. Which port number must be assigned to the HTTP Listener's connector configuration so that the Mule application properly receives HTTPS API invocations routed through the SLB?


A. 8082


B. 8092


C. 80


D. 443





B.
  8092

Explanation:
When using CloudHub 1.0’s Shared Load Balancer (SLB) for a Mule application configured with HTTPS in an Anypoint VPC, specific ports must be configured for the application to correctly route incoming traffic:

  • Port Requirement for SLB:
  • Why Option B is Correct:
  • Explanation of Incorrect Options:
References
For more information on the Shared Load Balancer port configurations, refer to MuleSoft’s documentation on CloudHub and VPC load balancer requirements.

What are 4 important Platform Capabilities offered by Anypoint Platform?


A.

API Versioning, API Runtime Execution and Hosting, API Invocation, API Consumer Engagement


B.

API Design and Development, API Runtime Execution and Hosting, API Versioning, API
Deprecation


C.

API Design and Development, API Runtime Execution and Hosting, API Operations and
Management, API Consumer Engagement


D.

API Design and Development, API Deprecation, API Versioning, API Consumer
Engagement





C.
  

API Design and Development, API Runtime Execution and Hosting, API Operations and
Management, API Consumer Engagement



Explanation: Explanation
Correct Answer: API Design and Development, API Runtime Execution and Hosting, API
Operations and Management, API Consumer Engagement
*****************************************
>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint
Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API
Notebooks


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