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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
Certification:
MuleSoft Certified Architect
Vendor:
MuleSoft
Questions:
273
Last Updated:
May 12, 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

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Question 1

What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?

Options:

A.

A Mule application that accepts requests over HTTP/1x

B.

A Mule application that accepts JSON requests over TCP but is NOT required to provide a response.

C.

A Mule application that accepts JSON requests over WebSocket

D.

A Mule application that accepts gRPC requests over HTTP/2

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Question 2

A mule application designed to fulfil two requirements

a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events

b) Processing a medium rate of records from a source to a target system using batch job scope

Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?

Options:

A.

Use Cloud hub persistent queues for FTPS files processing

There is no need to configure VM queues for the batch jobs scope as it uses by default the worker's disc for VM queueing

B.

Use Cloud hub persistent VM queue for FTPS file processing

There is no need to configure VM queues for the batch jobs scope as it uses by default the worker's JVM memory for VM queueing

C.

Use Cloud hub persistent VM queues for FTPS file processing

Disable VM queue for the batch job scope

D.

Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope

Question 3

A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.

Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.

Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.

Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.

As an integration architect, which of the below option you would suggest to resolve performance issue?

Options:

A.

Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store

B.

Upgrade vCore size from 0.1 vCore to 0,2 vCore

C.

Implement HTTP caching policy for all GET endpoints for master lookup API

D.

Add an additional Cloudhub worker to provide additional capacity

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