2026 MuleSoft-Integration-Architect-I Dumps PDF – MuleSoft-Integration-Architect-I Real Exam Questions Answers [Q149-Q169]

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2026 MuleSoft-Integration-Architect-I Dumps PDF – MuleSoft-Integration-Architect-I Real Exam Questions Answers

Valid MuleSoft-Integration-Architect-I Test Answers & Salesforce MuleSoft-Integration-Architect-I Exam PDF

Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic	Details
Topic 1	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
Topic 2	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
Topic 3	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 4	Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
Topic 5	Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.
Topic 6	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 7	Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.
Topic 8	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.

Q149. An organization plans to migrate all its Mule applications to Runtime Fabric (RTF). Currently, all Mule applications have been deployed to CloudHub using automated CI/CD scripts.
What steps should be taken to properly migrate the applications from CloudHub to RTF, while keeping the same automated CI/CD deployment strategy?

A runtimefabric dependency should be added as a mule-plugin to the pom.xml file in all the Mule applications.

runtimeFabric command-line parameter should be added to the CI/CD deployment scripts.

A runtimefFabricDeployment profile should be added to Mule configuration properties YAML files in all the Mule applications.
CI/CD scripts must be modified to use the new configuration properties.

runtimefabricDeployment profile should be added to the pom.xml file in all the Mule applications. CI/CD scripts must be modified to use the new RTF profile.

The pom.xml and Mule configuration YAML files can remain unchanged in each Mule application.
A –runtimeFabric command-line parameter should be added to the CI/CD deployment scripts

Q150. As a part of project requirement, client will send a stream of data to mule application. Payload size can vary between 10mb to 5GB. Mule application is required to transform the data and send across multiple sftp servers. Due to the cost cuttings in the organization, mule application can only be allocated one worker with size of 0.2 vCore.
As an integration architect , which streaming strategy you would suggest to handle this scenario?

In-memory non repeatable stream

File based non-repeatable stream

In-memory repeatable stream

File based repeatable storage

Q151. A company is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTP5 POST and must be acknowledged immediately.
Once acknowledged the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to the rejections from the back-end system will need to be processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization’s firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
Which combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

One or more On Error scopes to assist calling the back-end system An Untill successful scope containing VM components for long retries A persistent dead-letter VM queue configure in Cloud hub

An Until Successful scope to call the back-end system One or more ActiveMQ long-retry queues One or more ActiveMQ dead-letter queues for manual processing

One or more on-Error scopes to assist calling the back-end system one or more ActiveMQ long-retry queues A persistent dead-letter Object store configuration in the CloudHub object store service

A batch job scope to call the back in system An Untill successful scope containing Object Store components for long retries. A dead-letter object store configured in the Mule application

Q152. What is a defining characteristic of an integration-Platform-as-a-Service (iPaaS)?

A Cloud-based

No-code

Code-first

On-premises

Q153. A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?

Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave

From the mule application, transform via theXSLT model

Transform by calling any suitable Java class from Dataweave

Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave

Q154. An organization plans to migrate its deployment environment from an onpremises cluster to a Runtime Fabric (RTF) cluster. The on-premises Mule applications are currently configured with persistent object stores.
There is a requirement to enable Mule applications deployed to the RTF cluster to store and share data across application replicas and through restarts of the entire RTF cluster, How can these reliability requirements be met?

Replace persistent object stores with persistent VM queues in each Mule application deployment

Install the Object Store pod on one of the cluster nodes

Configure Anypoint Object Store v2 to share data between replicas in the RTF cluster

Configure the Persistence Gateway in the RTF installation

Q155. An organization has chosen Mulesoft for their integration and API platform.
According to the Mulesoft catalyst framework, what would an integration architect do to create achievement goals as part of their business outcomes?

Measure the impact of the centre for enablement

build and publish foundational assets

agree upon KPI’s and help develop and overall success plan

evangelize API’s

Q156. As part of a growth strategy, a supplier signs a trading agreement with a large customer. The customer sends purchase orders to the supplier according to the ANSI X12 EDI standard, and the supplier creates the orders in its ERP system using the information in the EDI document.
The agreement also requires that the supplier provide a new RESTful API to process request from the customer for current product inventory level from the supplier’ s ERP system.
Which two fundamental integration use cases does the supplier need to deliver to provide an end-to-end solution for this business scenario? (Choose two.)

Synchronized data transfer

Sharing data with external partners

User interface integration

Streaming data ingestion

Data mashups

Q157. An organization has decided on a cloudhub migration strategy that aims to minimize the organizations own IT resources. Currently, the organizational has all of its Mule applications running on its own premises and uses an premises load balancer that exposes all APIs under the base URL https://api.acme.com As part of the migration strategy, the organization plans to migrate all of its Mule applications and load balancer to cloudhub What is the most straight-forward and cost effective approach to the Mule applications deployment and load balancing that preserves the public URLs?

Deploy the Mule applications to CloudhubUpdate the CNAME record for an api.acme.com in the organizations DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB)Apply mapping rules in the DLB to map URLs to their corresponding Mule applications

For each migrated Mule application, deploy an API proxy Mule application to Cloudhub with all applications under the control of a dedicated load balancer(CLB)Update the CNAME record for api.
acme.com in the organization DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB)Apply mapping rules in the DLB to map each API proxy application to its corresponding Mule applications

Deploy the Mule applications to CloudhubCreate CNAME record for api.acme.com in the Cloudhub Shared load balancer (SLB) pointing to the A record of the on-premise load balancerApply mapping rules in the SLB to map URLs to their corresponding Mule applications

Deploy the Mule applications to CloudhubUpdate the CNAME record for api.acme.com in the organization DNS server pointing to the A record of the cloudhub shared load balancer(SLB)Apply mapping rules in the SLB to map URLs to their corresponding Mule applications.

Q158. An external REST client periodically sends an array of records in a single POST request to a Mule application API endpoint.
The Mule application must validate each record of the request against a JSON schema before sending it to a downstream system in the same order that it was received in the array Record processing will take place inside a router or scope that calls a child flow. The child flow has its own error handling defined. Any validation or communication failures should not prevent further processing of the remaining records.
To best address these requirements what is the most idiomatic(used for it intended purpose) router or scope to used in the parent flow, and what type of error handler should be used in the child flow?

First Successful router in the parent flowOn Error Continue error handler in the child flow

For Each scope in the parent flowOn Error Continue error handler in the child flow

Parallel For Each scope in the parent flowOn Error Propagate error handler in the child flow

Until Successful router in the parent flowOn Error Propagate error handler in the child flow

Q159. A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?

Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps

Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2

Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER

Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible

Q160. An organization has defined a common object model in Java to mediate the communication between different Mule applications in a consistent way. A Mule application is being built to use this common object model to process responses from a SOAP API and a REST API and then write the processed results to an order management system.
The developers want Anypoint Studio to utilize these common objects to assist in creating mappings for various transformation steps in the Mule application.
What is the most idiomatic (used for its intended purpose) and performant way to utilize these common objects to map between the inbound and outbound systems in the Mule application?

Use JAXB (XML) and Jackson (JSON) data bindings

Use the WSS module

Use the Java module

Use the Transform Message component

Q161. Which role is primarily responsible for building API implementation as part of a typical MuleSoft integration project?

API Developer

API Designer

Integration Architect

Operations

Q162. An integration architect is designing an API that must accept requests from API clients for both XML and JSON content over HTTP/1.1 by default.
Which API architectural style, when used for its intended and typical purposes, should the architect choose to meet these requirements?

SOAP

GraphQL

REST

grRPC

Q163. What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?

If the access token is compromised, the client credentials do not to be reissued.

If the access token is compromised, I can be exchanged for an API key.

If the client ID is compromised, it can be exchanged for an API key

If the client secret is compromised, the client credentials do not have to be reissued.

Q164. One of the backend systems involved by the API implementation enforces rate limits on the number of request a particle client can make.
Both the back-end system and API implementation are deployed to several non-production environments including the staging environment and to a particular production environment. Rate limiting of the back-end system applies to all non-production environments.
The production environment however does not have any rate limiting.
What is the cost-effective approach to conduct performance test of the API implementation in the non-production staging environment?

Including logic within the API implementation that bypasses in locations of the back-end system in the staging environment and invoke a Mocking service that replicates typical back-end system responses Then conduct performance test using this API implementation

Use MUnit to simulate standard responses from the back-end system.
Then conduct performance test to identify other bottlenecks in the system

Create a Mocking service that replicates the back-end system’s
production performance characteristics
Then configure the API implementation to use the mocking
service and conduct the performance test

Conduct scaled-down performance tests in the staging environment against rate-limiting back-end system. Then upscale performance results to full production scale

Q165. Refer to the exhibit.

A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?

Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources

Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API

Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed

Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing

Q166. Which Mulesoft feature helps users to delegate their access without sharing sensitive credentials or giving full control of accounts to 3rd parties?

Secure Scheme

client id enforcement policy

Connected apps

Certificates

Q167. According to MuleSoft’s API development best practices, which type of API development approach starts with writing and approving an API contract?

Implement-first

Catalyst

Agile

Design-first

Q168. An organization will deploy Mule applications to Cloudhub, Business requirements mandate that all application logs be stored ONLY in an external splunk consolidated logging service and NOT in Cloudhub.
In order to most easily store Mule application logs ONLY in Splunk, how must Mule application logging be configured in Runtime Manager, and where should the log4j2 splunk appender be defined?

Keep the default logging configuration in RuntimeManagerDefine the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manager to support at Mule application deployments.

Disable Cloudhub logging in Runtime ManagerDefine the splunk appender in EACH Mule application’ s log4j2.xml file

Disable Cloudhub logging in Runtime ManagerDefine the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manger to support at Mule application deployments.

Keep the default logging configuration in Runtime ManagerDefine the Splunk appender in EACH Mule application log4j2.xml file

Q169. Why would an Enterprise Architect use a single enterprise-wide canonical data model (CDM) when designing an integration solution using Anypoint Platform?

To reduce dependencies when integrating multiple systems that use different data formats

To automate Al-enabled API implementation generation based on normalized backend databases from separate vendors

To leverage a data abstraction layer that shields existing Mule applications from nonbackward compatible changes to the model’s data structure

To remove the need to perform data transformation when processing message payloads in Mule applications