Most Recent Salesforce MuleSoft-Integration-Architect-I Exam Dumps

Prepare for the Salesforce Certified MuleSoft Integration Architect I exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Salesforce MuleSoft-Integration-Architect-I exam and achieve success.

The questions for MuleSoft-Integration-Architect-I were last updated on Mar 28, 2025.

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Question No. 1

An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope

After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment

What is the consequence of losing the replicas that run the Batch job instance?

AThe remaining 99000 records will be lost and left and processed

BThe second replicas will take over processing the remaining
99000 records

CA new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing

DA new placement replica will be available and will take or processing the remaining 99,000 records

Show Answer

Correct Answer: B

Question No. 2

A mule application is deployed to a Single Cloudhub worker and the public URL appears in Runtime Manager as the APP URL.

Requests are sent by external web clients over the public internet to the mule application App url. Each of these requests routed to the HTTPS Listener event source of the running Mule application.

Later, the DevOps team edits some properties of this running Mule application in Runtime Manager.

Immediately after the new property values are applied in runtime manager, how is the current Mule application deployment affected and how will future web client requests to the Mule application be handled?

ACloudhub will redeploy the Mule application to the OLD Cloudhub worker
New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker

BCloudHub will redeploy the Mule application to a NEW Cloudhub worker
New web client requests will RETURN AN ERROR until the NEW Cloudhub worker is available

CCloudhub will redeploy the Mule application to a NEW Cloudhub worker
New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.

DCloudhub will redeploy the mule application to the OLD Cloudhub worker
New web client requests are ROUTED to the OLD Cloudhub worker BOTH before and after the Mule application is redeployed.

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Correct Answer: C

CloudHub supports updating your applications at runtime so end users of your HTTP APIs experience zero downtime. While your application update is deploying, CloudHub keeps the old version of your application running. Your domain points to the old version of your application until the newly uploaded version is fully started. This allows you to keep servicing requests from your old application while the new version of your application is starting.

Question No. 3

A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.

What Is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?

AUse Anypoint Design Center to implement the Mule applications and APIs and give the various stakeholders access to these Design Center projects, so they can collaborate and provide feedback

BCreate Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth

CUse Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they can be discovered

DCapture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio's Export Documentation feature to provide an HTML version of this documentation to the stakeholders

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Correct Answer: B

As the stakeholders are semitechnical users , preferred option is Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth

Question No. 4

Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.

Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.

What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

ACreate a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests

BUse MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system

CInclude logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation

DConduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale

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Correct Answer: A

Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests

* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.

* Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.

* Scaled down performance tests cant be relied upon as performance of API's is not linear against load.

Question No. 5

A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.

The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.

What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?

AImplement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application

BImplement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services

CExtend the existing transformation services with new transformation logic and Invoke them from the new Mule application

DImplement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible

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Correct Answer: D

Correct answer is Implement transformation logic in the new Mule application using DataWeave, invoking existing transformation services when possible. * The key here minimal testing effort, 'Extend existing transformation logic' is not a feasible option because additional functionality is highly specific to the new Mule application so it should not be a part of commonly used functionality. So this option is ruled out. * 'Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services' Replicating the transformation logic of existing transformation services will cause duplicity of code. So this option is ruled out. * 'Implement and expose all transformation logic as microservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application' as question specifies that the transformation is app specific and wont be used outside

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