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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
Vendor:
Questions:
152
Last Updated:
Jun 21, 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

Question 1

A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.

The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.

If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

Options:

A.

Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

B.

Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete

C.

No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API

D.

Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

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Question 2

What is most likely NOT a characteristic of an integration test for a REST API implementation?

Options:

A.

The test needs all source and/or target systems configured and accessible

B.

The test runs immediately after the Mule application has been compiled and packaged

C.

The test is triggered by an external HTTP request

D.

The test prepares a known request payload and validates the response payload

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