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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:
Jun 10, 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 organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).

What best describes each modern API in relation to this new IT operating model?

Options:

A.

Each modern API has its own software development lifecycle, which reduces the need for documentation and automation

B.

Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)

C.

Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D

D.

Each modern API must be REST and HTTP based

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Question 2

A System API is designed to retrieve data from a backend system that has scalability challenges. What API policy can best safeguard the backend system?

Options:

A.

IPwhitelist

B.

SLA-based rate limiting

C.

Auth 2 token enforcement

D.

Client ID enforcement

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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