MuleSoft MCPA-Level-1 Practice Exam Dumps 2025

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MuleSoft Certified Platform Architect - Level 1 Questions and Answers

Question 1

What should be ensured before sharing an API through a public Anypoint Exchange portal?

Options:

The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility

The users needing access to the API should be added to the appropriate role in Anypoint Platform

The API should be functional with at least an initial implementation deployed and accessible for users to interact with

The API should be secured using one of the supported authentication/authorization mechanisms to ensure that data is not compromised

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Question 2

Refer to the exhibit.

What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?

A) Handle customizations for the end-user application at the Process API level rather than the Experience API level

B)Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs

C)Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)

D)Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

Options:

Option A

Option B

Option C

Option D

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:

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

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

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

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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MCPA-Level-1 Exam Dumps : MuleSoft Certified Platform Architect - Level 1

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MuleSoft Certified Platform Architect - Level 1 Questions and Answers

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