Mulesoft MCPA-Level-1 Exam Questions

151 Questions


Updation Date : 26-Nov-2025



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Which of the following best fits the definition of API-led connectivity?


A.

API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization


B.

API-led connectivity is a 3-layered architecture covering Experience, Process and System layers


C.

API-led connectivity is a technology which enabled us to implement Experience, Process and System layer based APIs





A.
  

API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization



Explanation: Explanation
Correct Answer: API-led connectivity is not just an architecture or technology but also a
way to organize people and processes for efficient IT delivery in the organization.
*****************************************
Reference: https://blogs.mulesoft.com/dev/api-dev/what-is-api-led-connectivity/

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

Which component monitors APIs and endpoints at scheduled intervals, receives reports about whether tests pass or fail, and displays statistics about API and endpoint performance?


A. API Analytics


B. Anypoint Monitoring dashboards


C. APT Functional Monitoring


D. Anypoint Runtime Manager alerts





C.
  APT Functional Monitoring

Explanation:

  • Understanding API Functional Monitoring:
  • Component Features:
  • Evaluating the Options:
Conclusion:
Refer to MuleSoft documentation on API Functional Monitoring for further guidance on setting up and configuring these tests in Anypoint Platform.

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

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.

Which APIs can be used with DataGraph to create a unified schema?


A. APIs 1, 3, 5


B. APIs 2, 4 ,6


C. APIs 1, 2, s5, 6


D. APIs 1, 2, 3, 4





D.
  APIs 1, 2, 3, 4

Explanation:
To create a unified schema in MuleSoft's DataGraph, APIs must be exposed in a way that allows DataGraph to pull and consolidate data from these APIs into a single schema accessible to consumers. DataGraph provides a federated approach, combining multiple APIs to form a single, unified API endpoint.
In this setup:
APIs 1, 2, 3, and 4 are suitable candidates for DataGraph because they are hosted within the Customer VPC on CloudHub and are accessible either through a Shared Load Balancer (LB) or a Dedicated Load Balancer (DLB). Both of these load balancers provide public access, which is a necessary condition for DataGraph as it must access the APIs to aggregate data.
APIs 5 and 6 are hosted on Customer Hosted Server 2, which is explicitly marked as "Not public". Since DataGraph requires API access through a publicly reachable endpoint to aggregate them into a unified schema, APIs 5 and 6 cannot be used with DataGraph in this configuration.
APIs 3 and 4 on Customer Hosted Server 1 appear accessible through a Shared LB, implying public accessibility that meets DataGraph’s requirements.
By combining APIs 1, 2, 3, and 4 within DataGraph, you can create a unified schema that enables clients to query data seamlessly from all these APIs as if it were from a single source.
This setup allows for efficient data retrieval and can simplify API consumption by reducing the need to call multiple APIs individually, thus optimizing performance and developer experience.

The responses to some HTTP requests can be cached depending on the HTTP verb used
in the request. According to the HTTP specification, for what HTTP verbs is this safe to do?


A.

PUT, POST, DELETE


B.

GET, HEAD, POST


C.

GET, PUT, OPTIONS


D.

GET, OPTIONS, HEAD





D.
  

GET, OPTIONS, HEAD



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.


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