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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:
Jan 15, 2026
Exam Status:
Stable
MuleSoft MCIA-Level-1

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

Are you worried about passing the MuleSoft MCIA-Level-1 (MuleSoft Certified Integration Architect - Level 1) exam? Download the most recent MuleSoft MCIA-Level-1 braindumps with answers that are 100% real. After downloading the MuleSoft MCIA-Level-1 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the MuleSoft MCIA-Level-1 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the MuleSoft MCIA-Level-1 exam on your first attempt, we have compiled actual exam questions and their answers. 

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MuleSoft Certified Integration Architect - Level 1 Questions and Answers

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Question 1

A stock broking company makes use of CloudHub VPC to deploy Mule applications. Mule application needs to connect to a database application in the customers on-premises corporate data center and also to a Kafka cluster running in AWS VPC.

How is access enabled for the API to connect to the database application and Kafka cluster securely?

Options:

A.

Set up a transit gateway to the customers on-premises corporate datacenter to AWS VPC

B.

Setup AnyPoint VPN to the customer's on-premise corporate data

center and VPC peering with AWS VPC

C.

Setup VPC peering with AWS VPC and the customers devices corporate data center

D.

Setup VPC peering with the customers onto my service corporate data center and Anypoint VPN to AWS VPC

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Question 2

An API implementation is being developed to expose data from a production database via HTTP requests. The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

Options:

A.

Unit testing (white box)

B.

Integration testing

C.

Functional testing (black box)

D.

Performance testing

Question 3

A leading eCommerce giant will use MuleSoft APIs on Runtime Fabric (RTF) to process customer orders. Some customer-sensitive information, such as credit card information, is required in request payloads or is included in response payloads in some of the APIs. Other API requests and responses are not authorized to access some of this customer-sensitive information but have been implemented to validate and transform based on the structure and format of this customer-sensitive information (such as account IDs, phone numbers, and postal codes).

What approach configures an API gateway to hide sensitive data exchanged between API consumers and API implementations, but can convert tokenized fields back to their original value for other API requests or responses, without having to recode the API implementations?

Later, the project team requires all API specifications to be augmented with an additional non-functional requirement (NFR) to protect the backend services from a high rate of requests, according to defined service-level

agreements (SLAs). The NFR's SLAs are based on a new tiered subscription level "Gold", "Silver", or "Platinum" that must be tied to a new parameter that is being added to the Accounts object in their enterprise data model.

Following MuleSoft's recommended best practices, how should the project team now convey the necessary non-functional requirement to stakeholders?

Options:

A.

Create and deploy API proxies in API Manager for the NFR, change the baseurl in each

API specification to the corresponding API proxy implementation endpoint, and publish each modified API specification to Exchange

B.

Update each API specification with comments about the NFR's SLAs and publish each modified API specification to Exchange

C.

Update each API specification with a shared RAML fragment required to implement the NFR and publish the RAML fragment and each modified API specification to Exchange

D.

Create a shared RAML fragment required to implement the NFR, list each API implementation endpoint in the RAML fragment, and publish the RAML fragment to Exchange

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