Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 13-Jan-2026



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To minimize operation costs, a customer wants to use a CloudHub 1.0 solution. The customer's requirements are:

  • Separate resources with two Business groups
  • High-availability (HA) for all APIs
  • Route traffic via Dedicated load balancer (DLBs)
  • Separate environments into production and non-production
Which solution meets the customer's needs?


A. One production and one non-production Virtual Private Cloud (VPC).
Use availability zones to differentiate between Business groups.
Allocate maximum CIDR per VPCs to ensure HA across availability zones


B. One production and one non-production Virtual Private Cloud (VPC) per Business group.
Minimize CIDR aligning with projected application total.
Choose a MuleSoft CloudHub 1.0 region with multiple availability zones.
Deploy multiple workers for HA,


C. One production and one non-production Virtual Private Cloud (VPC) per Business group.
Minimize CIDR aligning with projected application total.
Divide availability zones during deployment of APIs for HA.


D. One production and one non-production Virtual Private Claud (VPC).
Configure subnet to differentiate between business groups.
Allocate maximum CIDR per VPCs to make it easier to add Child groups.
Span VPC to cover three availability zones.





B.
  One production and one non-production Virtual Private Cloud (VPC) per Business group.
Minimize CIDR aligning with projected application total.
Choose a MuleSoft CloudHub 1.0 region with multiple availability zones.
Deploy multiple workers for HA,

An organization wants to make sure only known partners can invoke the organization's
APIs. To achieve this security goal, the organization wants to enforce a Client ID
Enforcement policy in API Manager so that only registered partner applications can invoke
the organization's APIs. In what type of API implementation does MuleSoft recommend
adding an API proxy to enforce the Client ID Enforcement policy, rather than embedding
the policy directly in the application's JVM?


A.

A Mule 3 application using APIkit


B.

A Mule 3 or Mule 4 application modified with custom Java code


C.

A Mule 4 application with an API specification


D.

A Non-Mule application





D.
  

A Non-Mule application



Explanation: Explanation
Correct Answer: A Non-Mule application
*****************************************
>> All type of Mule applications (Mule 3/ Mule 4/ with APIkit/ with Custom Java Code etc)
running on Mule Runtimes support the Embedded Policy Enforcement on them.
>> The only option that cannot have or does not support embedded policy enforcement
and must have API Proxy is for Non-Mule Applications.
So, Non-Mule application is the right answer

An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second. What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?


A. The application scalability threshold is five requests per second regardless of the horizontal scaling


B. The total process execution time is now 100 milliseconds (.1 seconds)


C. The application scalability threshold is now 10 requests per second


D. Horizontal scaling cannot be applied to an already-running application





A.
  The application scalability threshold is five requests per second regardless of the horizontal scaling

Explanation:
Given that the application is designed to handle only one process at a time to maintain data consistency, here’s why horizontal scaling won’t increase the processing limit:
Single-Process Constraint:

  • Execution Time:
  • Explanation of Correct Answer (A):
  • Explanation of Incorrect Options:

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.

When using CloudHub with the Shared Load Balancer, what is managed EXCLUSIVELY
by the API implementation (the Mule application) and NOT by Anypoint Platform?


A.

The assignment of each HTTP request to a particular CloudHub worker


B.

The logging configuration that enables log entries to be visible in Runtime Manager


C.

The SSL certificates used by the API implementation to expose HTTPS endpoints


D.

The number of DNS entries allocated to the API implementation





C.
  

The SSL certificates used by the API implementation to expose HTTPS endpoints



Explanation: Explanation
Correct Answer: The SSL certificates used by the API implementation to expose HTTPS
endpoints
*****************************************
>> The assignment of each HTTP request to a particular CloudHub worker is taken care by
Anypoint Platform itself. We need not manage it explicitly in the API implementation and in
fact we CANNOT manage it in the API implementation.
>> The logging configuration that enables log entries to be visible in Runtime Manager is
ALWAYS managed in the API implementation and NOT just for SLB. So this is not
something we do EXCLUSIVELY when using SLB.
>> We DO NOT manage the number of DNS entries allocated to the API implementation
inside the code. Anypoint Platform takes care of this.
It is the SSL certificates used by the API implementation to expose HTTPS endpoints that
is to be managed EXCLUSIVELY by the API implementation. Anypoint Platform does NOT
do this when using SLBs.

A European company has customers all across Europe, and the IT department is migrating from an older platform to MuleSoft. The main requirements are that the new platform should allow redeployments with zero downtime and deployment of applications to multiple runtime versions, provide security and speed, and utilize Anypoint MQ as the message service. Which runtime plane should the company select based on the requirements without additional network configuration?


A. Runtime Fabric on VMs / Bare Metal for the runtime plane


B. Customer-hosted runtime plane


C. MuleSoft-hosted runtime plane (CloudHub)


D. Anypoint Runtime Fabric on Self-Managed Kubernetes for the runtime plane





C.
  MuleSoft-hosted runtime plane (CloudHub)

Explanation:
For a European company with requirements such as zero-downtime redeployment, deployment to multiple runtime versions, secure and fast performance, and the use of Anypoint MQ without additional network configuration, CloudHub is the best choice for the following reasons:

  • Zero-Downtime Redeployment: CloudHub supports zero-downtime deployment, which allows seamless redeployment of applications without impacting availability. Support for Multiple Runtime Versions: CloudHub allows deploying applications across different Mule runtime versions, giving flexibility to test and migrate applications as needed.
  • Integrated Anypoint MQ: Anypoint MQ, which is fully integrated with CloudHub, provides reliable messaging across applications. Choosing CloudHub removes the need for additional network configurations, as Anypoint MQ can be directly accessed in this hosted environment.
  • Security and Performance: CloudHub offers secure networking, automatic scaling, and optimized performance without requiring a complex setup. This is managed by MuleSoft’s infrastructure, meeting the speed and security requirements with minimal overhead.
Explanation of Incorrect Options:
References:

For more information on CloudHub’s capabilities regarding zero-downtime deployments and integration with Anypoint MQ, refer to MuleSoft documentation on CloudHub.

An Order API triggers a sequence of other API calls to look up details of an order's items in a back-end inventory database. The Order API calls the OrderItems process API, which calls the Inventory system API. The Inventory system API performs database operations in the back-end inventory database.
The network connection between the Inventory system API and the database is known to be unreliable and hang at unpredictable times.
Where should a two-second timeout be configured in the API processing sequence so that the Order API never waits more than two seconds for a response from the Orderltems process API?


A. In the Orderltems process API implementation


B. In the Order API implementation


C. In the Inventory system API implementation


D. In the inventory database





A.
  In the Orderltems process API implementation

What do the API invocation metrics provided by Anypoint Platform provide?


A.

ROI metrics from APIs that can be directly shared with business users


B.

Measurements of the effectiveness of the application network based on the level of reuse


C.

Data on past API invocations to help identify anomalies and usage patterns across various APIs


D.

Proactive identification of likely future policy violations that exceed a given threat
threshold





C.
  

Data on past API invocations to help identify anomalies and usage patterns across various APIs



Explanation: Explanation
Correct Answer: Data on past API invocations to help identify anomalies and usage
patterns across various APIs
*****************************************
API Invocation metrics provided by Anypoint Platform:
>> Does NOT provide any Return Of Investment (ROI) related information. So the option
suggesting it is OUT.
>> Does NOT provide any information w.r.t how APIs are reused, whether there is effective
usage of APIs or not etc...
>> Does NOT prodive any prediction information as such to help us proactively identify any
future policy violations.
So, the kind of data/information we can get from such metrics is on past API invocations to
help identify anomalies and usage patterns across various APIs.
Reference:
https://usermanual.wiki/Document/APAAppNetstudentManual02may2018.991784750.pdf


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