[Feb-2026] Salesforce MuleSoft MuleSoft-Integration-Architect-I Exam Practice Test Questions Dumps Bundle!
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NEW QUESTION # 40
A mule application must periodically process a large dataset which varies from 6 GB lo 8 GB from a back- end database and write transform data lo an FTPS server using a properly configured bad job scope.
The performance requirements of an application are approved to run in the cloud hub 0.2 vCore with 8 GB storage capacity and currency requirements are met.
How can the high rate of records be effectively managed in this application?
- A. Use streaming with a file storage repeatable strategy for reading records from the database and batch aggregator with streaming to write to FTPS
- B. Use streaming with an in-memory reputable store strategy for reading records from the database and batch aggregator with streaming to write to FTPS
- C. Use streaming with a file store repeatable strategy for reading records from the database and batch aggregator with an optimal size
- D. Use streaming with a file store repeatable strategy reading records from the database and batch aggregator without any required configuration
Answer: A
Explanation:
For handling large datasets in a Mule application, streaming is an effective strategy. Streaming allows the application to process large amounts of data in chunks, reducing memory usage and improving performance.
Using a file storage repeatable strategy for reading records from the database ensures that the data is read in manageable chunks and stored temporarily in files, which can be re-read if necessary, enhancing reliability.
The batch aggregator with streaming to write to an FTPS server ensures that data is written in chunks, aligning with the processing capabilities of the application running in CloudHub with 0.2 vCore and 8 GB storage. This configuration optimizes performance by balancing the load and managing the dataset size effectively, ensuring that the high rate of records can be processed and written to the FTPS server without overwhelming the system.
MuleSoft Documentation on Streaming
MuleSoft Documentation on Batch Processing
NEW QUESTION # 41
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?
- A. Required redesign of Mule applications to follow microservice architecture principles
- B. Required change to the URL endpoints used by clients to send requests to the Mule applications
- C. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition
- D. Guaranteed consistency of execution environments across all deployments of a Mule application
Answer: A
Explanation:
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Required redesign of Mule applications to follow microservice architecture principles
NEW QUESTION # 42
A mule application is required to periodically process large data set from a back-end database to Salesforce CRM using batch job scope configured properly process the higher rate of records.
The application is deployed to two cloudhub workers with no persistence queues enabled.
What is the consequence if the worker crashes during records processing?
- A. Remaining records will be left and processed
- B. Remaining records be processed by second worker
- C. All the records will be processed from scratch by the second worker leading to duplicate processing
- D. Remaining records will be processed by a new replacement worker
Answer: C
Explanation:
When a Mule application uses batch job scope to process large datasets and is deployed on multiple CloudHub workers without persistence queues enabled, the following scenario occurs if a worker crashes:
* Batch Job Scope: Batch jobs are designed to handle large datasets by splitting the work into records and processing them in parallel.
* Non-Persistent Queues: When persistence is not enabled, the state of the batch processing is not stored persistently. This means that if a worker crashes, the state of the in-progress batch job is lost.
* Worker Crash Consequence:
* When a worker crashes, the records that were being processed by that worker are not tracked persistently.
* As a result, when another worker (or the same worker after a restart) picks up the job, it does not have the previous state information.
* This leads to the batch job starting from the beginning and reprocessing all records from scratch, causing duplicate processing of records that were already processed before the crash.
This behavior can cause issues such as duplicate data in Salesforce CRM and inefficiencies in processing.
References
* MuleSoft Batch Processing
* MuleSoft CloudHub Workers
NEW QUESTION # 43
A Mule application is synchronizing customer data between two different database systems.
What is the main benefit of using XA transaction over local transactions to synchronize these two database system?
- A. Reduce latency
- B. Increase throughput
- C. Ensure consistency
- D. Simplifies communincation
Answer: C
Explanation:
* XA transaction add tremendous latency so "Reduce Latency" is incorrect option XA transactions define "All or No" commit protocol.
* Each local XA resource manager supports the A.C.I.D properties (Atomicity, Consistency, Isolation, and Durability).
--------------------------------------------------------------------------------------------------------------------- So correct choice is "Ensure consistency"
NEW QUESTION # 44
Refer to the exhibit.
An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?
- A. 50% reduction in the response time of the API
- B. 50% reduction In the number of requests being received by each node
- C. 100% increase in the throughput of the API
- D. 50% reduction In the JVM heap memory consumed by each node
Answer: B
NEW QUESTION # 45
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?
- A. A new placement replica will be available and will take or processing the remaining 99,000 records
- B. The remaining 99000 records will be lost and left and processed
- C. A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
- D. The second replicas will take over processing the remaining 99000 records
Answer: A
Explanation:
When a batch job instance running on a runtime fabric environment with two cluster replicas encounters an unexpected failure, the following sequence of events occurs:
* Failure Detection: The runtime fabric environment detects the failure of the replica running the batch job.
* Replica Replacement: A new replica is provisioned to replace the failed one.
* Batch Job State Recovery: MuleSoft's batch processing mechanism ensures that the state of the batch job is periodically saved (checkpointing). This allows the new replica to resume processing from the last saved state.
* Resumption of Processing: The new replica takes over the batch job, continuing from where the previous one left off, thus processing the remaining 99,000 records without starting from scratch or causing duplicate processing.
MuleSoft Documentation on Batch Processing
Runtime Fabric Guide
NEW QUESTION # 46
An organization plans to extend its Mule APIs to the EU (Frankfurt) region.
Currently, all Mule applications are deployed to CloudHub 1.0 in the default North American region, from the North America control plane, following this naming convention: {API-name}-{environment} (for example, Orderssapi-dev, Orders-sapi--qa, Orders-sapi--prod, etc.).
There is no network restriction to block communications between APIs.
What strategy should be implemented in order to deploy the same Mule APIs to the CloudHub 1.0 EU region from the North America control plane, as well as to minimize latency between APIs and target users and systems in Europe?
- A. In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt) and reuse the same Mule application mame as in the North American region.
Communicate the new urls {API-name}-{environment}.de-ci.cloudhub.io to the consuming API clients In Europe. - B. In Runtime Manager, for each Mule application deployment, leave the Region property blank (default) and change the Mule application name to {API-name}-
{environment).de-cl.
Communicate the new urls {API-name}-{environment}.de-ci1.cloudhub.io to the consuming API clients in Europe. - C. In API Manager, set the Region property to EU (Frankfurt) to create an API proxy named {API-name}
-proxy-{environment} for each Mule application.
Communicate the new url {API-name}-proxy-{environment}.de-c1.cloudhub.io to the consuming API clients In Europe. - D. In API Manager, leave the Region property blank (default) to deploy an API proxy named {API-name}
~proxy~- (environment}.de-cl for each Mule application.
Communicate the new url {API-name}-proxy-{environment}.de-cl.cloudhub.io to the consuming API clients in Europe.
Answer: A
Explanation:
To extend Mule APIs to the EU (Frankfurt) region and minimize latency for European users, follow these steps:
* Set Region Property: In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt). This deploys the application to the desired region, optimizing performance for European users.
* Reuse Application Names: Keep the same Mule application names as used in the North American region. This approach maintains consistency and simplifies management.
* Communicate New URLs: Inform the consuming API clients in Europe of the new URLs in the format
{API-name}-{environment}.de-ci.cloudhub.io. These URLs will direct the clients to the applications deployed in the EU region, ensuring reduced latency and improved performance.
This strategy effectively deploys the same Mule APIs to the CloudHub EU region, leveraging the existing control plane in North America.
NEW QUESTION # 47
A project team is working on an API implementation using the RAML definition as a starting point. The team has updated the definition to include new operations and has published a new version to exchange. Meanwhile another team is working on a mule application consuming the same API implementation.
During the development what has to be performed by the mule application team to take advantage of the newly added operations?
- A. Scaffold the client application with the new definition
- B. Update the API connector in the API implementation and publish to exchange
- C. Scaffold API implementation application with the new definition
- D. Update the REST connector from exchange in the client application
Answer: D
NEW QUESTION # 48
As a part of design , Mule application is required call the Google Maps API to perform a distance computation. The application is deployed to cloudhub.
At the minimum what should be configured in the TLS context of the HTTP request configuration to meet these requirements?
- A. Download the Google public certificate from a browser, generate a JKS file from it and add it in Truststore as part of the TLS context
- B. Request a private key from Google and create a PKCS12 file with it and add it in keyStore as a part of TLS context
- C. The configuration is built-in and nothing extra is required for the TLS context
- D. Download the Google public certificate from a browser, generate JKS file from it and add it in key store as a part of TLS context
Answer: A
Explanation:
When configuring the TLS context for an HTTP request to the Google Maps API, the primary goal is to ensure that the Mule application can establish a secure connection. Here's a detailed explanation of the necessary steps:
* Download Google Public Certificate:
* Open a browser and navigate to the Google Maps API URL (e.g., https://maps.googleapis.com).
* Click on the lock icon in the address bar and view the certificate details.
* Export the certificate, usually in a .cer or .crt format.
* Generate JKS File from Certificate:
* Use a tool like keytool (which comes with the Java Development Kit) to import the downloaded certificate into a Java KeyStore (JKS) file.
keytool -importcert -file google.cer -keystore truststore.jks -alias google
* Add JKS File to Truststore:
* In your Mule application, configure the HTTP Request Connector with the generated JKS file as the Truststore in the TLS context.
<tls:trust-store path="path/to/truststore.jks" password="password"/>
* Configure HTTP Request Connector:
* Ensure the HTTP Request Connector references this Truststore configuration.
<http:request-config name="HTTP_Request_Configuration" protocol="HTTPS"> <http:tls-context> <tls:trust- store path="path/to/truststore.jks" password="password"/> </http:tls-context> </http:request-config> By completing these steps, your Mule application will trust the Google Maps API server's certificate, allowing for secure communication.
References
* MuleSoft Documentation: Configuring TLS
* Google Maps API Documentation
NEW QUESTION # 49
In preparation for a digital transformation initiative, an organization is reviewing related IT integration projects that failed for various for reason.
According to MuleSoft's surveys of global IT leaders, what is a common cause of IT project failure that this organization may likely discover in its assessment?
- A. Following an Agile delivery methodology
- B. Lack of alignment around business outcomes
- C. Spending too much time on enablement
- D. Reliance on an Integration-Platform-as-a-Service (iPaaS)
Answer: B
NEW QUESTION # 50
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?
- A. Call each API request in a separate route of a Parallel For Each scope
- B. Call each API request in a separate lookup call from Dataweave reduce operator
- C. Call each API request in a separate Async scope
- D. Call each API request in a separate route of a Scatter-Gather
Answer: D
Explanation:
Scatter-Gather sends a request message to multiple targets concurrently. It collects the responses from all routes, and aggregates them into a single message.
NEW QUESTION # 51
An organization's security requirements mandate centralized control at all times over authentication and authorization of external applications when invoking web APIs managed on Anypoint Platform.
What Anypoint Platform feature is most idiomatic (used for its intended purpose), straightforward, and maintainable to use to meet this requirement?
- A. External access configured in API Manager
- B. Enterprise Security module coded in Mule applications
- C. Identity management configured in access management
- D. Client management configured in access management
Answer: D
Explanation:
Reference: https://blogs.mulesoft.com/dev-guides/api-security-ways-to-authenticate-and-authorize/
NEW QUESTION # 52
Which Anypoint Platform component helps integration developers discovers and share reusable APIs, connectors, and templates?
- A. Anypoint Studio
- B. Anypoint Exchange
- C. Design Center
- D. API Manager
Answer: B
NEW QUESTION # 53
Refer to the exhibit.
What is the type data format shown in the exhibit?
- A. YAML
- B. CSV
- C. XML
- D. JSON
Answer: A
Explanation:
The data format shown in the exhibit is YAML (YAML Ain't Markup Language). YAML is a human- readable data serialization standard that is commonly used for configuration files and data exchange between languages with different data structures. In the exhibit, the indentation and the use of colons to define key- value pairs are characteristic of YAML.
JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) have different syntax structures, and CSV (Comma-Separated Values) is a flat file format that uses commas to separate values. The format shown in the exhibit fits the structure and style of YAML.
References
* YAML Specification Documentation
* MuleSoft Documentation on Supported Data Formats
NEW QUESTION # 54
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?
- A. 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
- B. 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
- C. 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
- D. 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
Answer: C
Explanation:
* Each Batch Job uses SEVERAL THREADS for the Batch Steps
* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)
* RECORDS are processed IN PARALLEL within and between the two Batch Steps.
* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)
* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.
* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job.
Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.
NEW QUESTION # 55
What is an advantage that Anypoint Platform offers by providing universal API management and Integration-Platform-as-a-Service (iPaaS) capabilities in a unified platform?
- A. Ability to use a single iPaaS to manage and integrate all API gateways
- B. Ability to use a single control plane for both full-lifecycle AP] management and integration
- C. Ability to use a single iPaaS to manage all API developer portals
- D. Ability to use a single connector to manage and integrate all APis
Answer: B
Explanation:
Anypoint Platform offers universal API management and Integration-Platform-as-a-Service (iPaaS) capabilities in a unified platform, meaning that it provides a single control plane to manage both full-lifecycle API management and integration. This allows organizations to easily manage their APIs and integrations, as well as deploy APIs and integrations quickly and efficiently. According to the MuleSoft Certified Integration Architect - Level 1 Course Book, "Anypoint Platform provides a unified platform for managing, deploying, and monitoring both API and integration solutions, allowing organizations to quickly and easily build and manage their APIs and integrations."
NEW QUESTION # 56
As a part of project requirement, Java Invoke static connector in a mule 4 application needs to invoke a static method in a dependency jar file. What are two ways to add the dependency to be visible by the connectors class loader?
(Choose two answers)
- A. Update mule-artefact.json to export the Java package
- B. Use Maven command to include the dependency jar file when packaging the application
- C. Add the dependency jar file to the java classpath by setting the JVM parameters
- D. In the Java Invoke static connector configuration, configure a path and name of the dependency jar file
- E. Configure the dependency as a shared library in the project POM
Answer: C,E
NEW QUESTION # 57
A project uses Jenkins to implement CI/CD process. It was observed that each Mule package contains some of the Jenkins files and folders for configurations of CI/CD jobs.
As these files and folders are not part of the actual package, expectation is that these should not be part of deployed archive.
Which file can be used to exclude these files and folders from the deployed archive?
- A. muleignore
- B. mulelnclude
- C. _muleExclude
- D. _unTrackMule
Answer: A
Explanation:
* Requirement Analysis: Jenkins files and folders used for CI/CD configurations are not part of the actual Mule package and should be excluded from the deployed archive.
* Solution: MuleSoft provides the .muleignore file to specify files and directories that should be excluded from the packaged application.
* Implementation Steps:
* Create a .muleignore File: In the root directory of your Mule project, create a file named .
muleignore.
* Specify Exclusions: Add the paths of the Jenkins files and folders that you want to exclude from the deployment package into the .muleignore file.
# .muleignore example /path/to/jenkins/file1 /path/to/jenkins/folder/*
* Build and Deploy: When you build your Mule application, the Mule runtime will read the .
muleignore file and exclude the specified files and directories from the deployment archive.
* Advantages:
* Clean Deployment: Ensures that only necessary files are included in the deployment package, reducing the package size and preventing potential issues related to unwanted files.
* Ease of Maintenance: Easy to update and manage which files are excluded from the deployment package.
References
* MuleSoft Documentation on .muleignore
NEW QUESTION # 58
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