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

Exam Code:
MCIA-Level-1
Exam Name:
MuleSoft Certified Integration Architect - Level 1
Vendor:
Questions:
273
Last Updated:
Jan 27, 2026
Exam Status:
Stable
MuleSoft MCIA-Level-1

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

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MuleSoft Certified Integration Architect - Level 1 Questions and Answers

Question 1

Insurance organization is planning to deploy Mule application in MuleSoft Hosted runtime plane. As a part of requirement , application should be scalable . highly available. It also has regulatory requirement which demands logs to be retained for at least 2 years. As an Integration Architect what step you will recommend in order to achieve this?

Options:

A.

It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required.

B.

When deploying an application to CloudHub , logs retention period should be selected as 2 years

C.

When deploying an application to CloudHub, worker size should be sufficient to store 2 years data

D.

Logging strategy should be configured accordingly in log4j file deployed with the application.

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Question 2

When designing an upstream API and its implementation, the development team has been advised to not set timeouts when invoking downstream API. Because the downstream API has no SLA that can be relied upon. This is the only donwstream API dependency of that upstream API. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

Options:

A.

The invocation of the downstream API will run to completion without timing out.

B.

An SLA for the upstream API CANNOT be provided.

C.

A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes.

D.

A load-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes.

Question 3

A mule application is being designed to perform product orchestration. The Mule application needs to join together the responses from an inventory API and a Product Sales History API with the least latency.

To minimize the overall latency. What is the most idiomatic (used for its intended purpose) design to call each API request in the Mule application?

Options:

A.

Call each API request in a separate lookup call from Dataweave reduce operator

B.

Call each API request in a separate route of a Scatter-Gather

C.

Call each API request in a separate route of a Parallel For Each scope

D.

Call each API request in a separate Async scope