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MuleSoft MCPA-Level-1 Exam With Confidence Using Practice Dumps

Exam Code:
MCPA-Level-1
Exam Name:
MuleSoft Certified Platform Architect - Level 1
Certification:
MuleSoft Certified Platform Architect
Vendor:
MuleSoft
Questions:
152
Last Updated:
Feb 20, 2026
Exam Status:
Stable
MuleSoft MCPA-Level-1

MCPA-Level-1: MuleSoft Certified Platform Architect Exam 2025 Study Guide Pdf and Test Engine

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MuleSoft Certified Platform Architect - Level 1 Questions and Answers

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Question 1

An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

Options:

A.

The API producer should be requested to run the old version in parallel with the new one

B.

The API producer should be contacted to understand the change to existing functionality

C.

The API client code only needs to be changed if it needs to take advantage of the new features

D.

The API clients need to update the code on their side and need to do full regression

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Question 2

What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

Options:

A.

A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design

B.

The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region

C.

The FQDNs are determined by the application name, but can be modified by an administrator after deployment

D.

The FQDNs are determined by both the application name and the Anypoint Platform organization

Question 3

An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

Options:

A.

Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

B.

Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

C.

Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers

D.

Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models

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