MuleSoft-Integration-Architect-I Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202) Free Practice Exam Questions (2025 Updated)

According to the National Institute of Standards and Technology (NIST), a hybrid cloud is a cloud computing deployment model that describes a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability. Hybrid clouds allow organizations to leverage the advantages of multiple cloud environments, such as combining the scalability and cost-efficiency of public clouds with the security and control of private clouds. This model facilitates flexibility and dynamic scalability, supporting diverse workloads and business needs while ensuring that sensitive data and applications can remain in a controlled private environment.

References

NIST Definition of Cloud Computing

Hybrid Cloud Overview and Benefits

Explanation

* "Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ" is not a feasible option

* "Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network" - It is risk for sensitive data. - Even if you whitelist the database IP on your app, your app wont be able to connect to the database so this is also not a feasible option

* "An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network" Adding one VPC with a DLB for each backend system also makes no sense, is way too much work. Why would you add a LB for one system.

* Correct answer: "An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network"

IPsec Tunnel You can use an IPsec tunnel with network-to-network configuration to connect your on-premises data centers to your Anypoint VPC. An IPsec VPN tunnel is generally the recommended solution for VPC to on-premises connectivity, as it provides a standardized, secure way to connect. This method also integrates well with existing IT infrastructure such as routers and appliances. Reference: https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept

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To improve delivery quality, a MuleSoft integration team should adopt automated testing with MUnit. MUnit is MuleSoft's testing framework that allows developers to create, design, and run unit and integration tests on their Mule applications. Automated testing with MUnit ensures that each part of the Mule application is tested for correctness and performance, catching issues early in the development cycle. This practice leads to higher quality code, reduced defects, and more reliable integrations.

Other practices mentioned, such as continuous design with API Designer and passive monitoring with Anypoint Monitoring, are important but do not directly address the need for rigorous and automated testing to ensure quality.

References

MuleSoft Documentation on MUnit

Best Practices for Automated Testing with MUnit

Requirements:

Asynchronous and Reliable File Processing: The application must process files from an FTPS server to a back-end database using VM intermediary queues for load balancing.

Batch Job Processing: The application must process records from a source to a target system using a Batch Job scope.

Persistent VM Queues:

Reliability: Persistent VM queues ensure that messages are not lost even if there is a system failure or restart. This is critical for reliable file processing and load balancing.

Asynchronous Processing: Persistent queues allow for asynchronous processing, where messages can be stored and processed independently of the producer and consumer lifecycles.

MuleSoft Best Practices:

Persistent VM Queues for Load Balancing: Using persistent VM queues aligns with MuleSoft best practices for ensuring reliable message processing and load balancing between Mule events.

High Availability: With CloudHub 1.0 workers, enabling persistent VM queues helps maintain high availability and reliability of the application.

Batch Job Scope: Ensuring persistence for VM queues also benefits batch processing by maintaining consistency and ensuring all records are processed even in the event of disruptions.

Configuration in Runtime Manager:

Deployment Configuration: When deploying the Mule application in Runtime Manager, check the "Persistent VM queues" checkbox to enable this feature.

Impact: This configuration ensures that the application meets its performance and reliability goals by safeguarding the integrity and continuity of the processing tasks.

MuleSoft Documentation on VM Queues: VM Queues

MuleSoft Best Practices: MuleSoft Best Practices

CloudHub Deployment Guide: CloudHub Deployment

Dealer D1 - AUTO Acknowledgment:

Dealer D1, which has a retry mechanism, can use AUTO acknowledgment. This means that the message is acknowledged automatically once received. The retry mechanism will handle any processing errors and reprocess the message if needed.

Dealer D2 - Manual Acknowledgment:

Dealer D2, which does not have a retry mechanism, must use manual acknowledgment. This approach allows D2 to acknowledge the message only after it has been successfully processed, ensuring no message is lost due to processing errors.

Ensuring Message Delivery:

Using manual acknowledgment for Dealer D2 ensures that the message is not lost and can be reprocessed if an error occurs during processing, which is crucial since it lacks a retry mechanism.

urpose of Metadata API:

The Metadata API is specifically designed to manage customization and configuration data in Salesforce. It allows users to deploy, retrieve, create, update, or delete customization information such as custom object definitions, page layouts, and more.

Use in MuleSoft:

When using the Mule Salesforce connector in a Mule application, invoking the Metadata API enables you to programmatically manage and deploy Salesforce metadata. This is essential for tasks such as deploying new custom objects, updating existing configurations, or deleting obsolete customizations.

Why Not Other APIs:

REST API: Primarily used for accessing Salesforce data and interacting with standard and custom objects.

SOAP API: Similar to REST API but uses SOAP protocol; also mainly for data access and manipulation.

Bulk API: Designed for handling large volumes of data for insert, update, delete operations but not for metadata management.

Timeout Attribute:

The timeout attribute in the JMS connector specifies the maximum time allowed for a transaction to be completed. If the transaction does not complete within this specified time, it will be considered a timeout.

Transaction Management:

In the context of an Extended Architecture (XA) transaction, this timeout ensures that if the transaction is not explicitly ended within the defined time, the transaction is rolled back to maintain data consistency.

Implications of Timeout:

If the timeout is exceeded, the JMS message processing is considered unsuccessful, and all operations within the transaction are undone, which helps in avoiding partial updates and maintaining a reliable state.

Explanation

* Organization should continue to use SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching.

* Reason is that Anypoint exchange is not full fledged version repositories like GitHub.

* But at same time it is tightly coupled with Mule assets

Set the Anypoint MQ connector operation to publish or consume messages, or to accept (ACK) or not accept (NACK) a message.

To design a caching strategy that queries the database only when there is an update to the Employees table, follow these steps:

On Table Row Operation: Configure an On Table Row operation to monitor the Employees table for updates.

Invalidate Cache: When the On Table Row operation detects an update, trigger the invalidate cache operation to clear the cache.

Object Store Caching Strategy: Use an object-store-caching-strategy to store the cached responses.

Default Expiration Interval: Use the default expiration interval for the cache, which ensures that cached data is invalidated based on the detection of changes in the Employees table rather than a fixed time interval.

This strategy ensures that the cache is only invalidated when there are actual changes in the Employees table, thereby minimizing redundant transactions and optimizing database performance.

References

MuleSoft Documentation on Caching Strategies

Best Practices for Database Integration with MuleSoft

Explanation

As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO).

Configure identity management using one of the following single sign-on standards:

1) OpenID Connect: End user identity verification by an authorization server including SSO

2) SAML 2.0: Web-based authorization including cross-domain SSO

When using a non-persistent object store in MuleSoft, the state data is stored in memory rather than on disk. This means that if a server crashes, all data stored in the non-persistent object store will be lost because it does not survive a server restart or crash. Non-persistent object stores are typically used for temporary data that does not need to be retained across application restarts. Therefore, in an environment where an API is maintaining its state using a non-persistent object store, a server crash will result in the loss of that state data.

MuleSoft Documentation on Object Store

Requirement Analysis: The security team requires any external API call to be restricted by an IP include list. This ensures that only specified IP addresses can access the third-party API.

Design Plan: To fulfill this requirement, implementing a proxy for the third-party API is the best approach. This proxy can enforce the IP include list policy.

Implementation Steps:

Create a Proxy API: Set up a new API proxy in Anypoint Platform to act as an intermediary for the third-party API.

Configure IP Include List Policy: Within the Anypoint API Manager, apply the IP whitelist policy to the proxy API. This policy will ensure that only requests from specified IP addresses are allowed to reach the third-party API.

Modify Main API Flow: Update the flow of your main API to call the newly created proxy API instead of directly calling the third-party API.

Testing: Conduct thorough testing to ensure that the proxy API correctly forwards requests to the third-party API only if the requests originate from IPs in the include list.

Advantages:

Security: This method ensures that only approved IPs can access the third-party API, adhering to the security team's requirements.

Manageability: Centralizes the IP restriction management within the API Manager, simplifying maintenance and updates.

References

MuleSoft Documentation on API Proxies

MuleSoft Documentation on IP Whitelist Policy

MuleSoft's API development best practices emphasize a design-first approach, which starts with writing and approving an API contract before any implementation begins. This approach ensures that the API's interface is agreed upon and understood by all stakeholders before the backend is built. It involves creating an API specification using tools like RAML or OpenAPI, which serves as a blueprint for development. This method promotes better planning, communication, and alignment between different teams and stakeholders, leading to more efficient and predictable API development processes.

Explanation

V2 Rest API is recommended for on premise applications to access Object Store. It also comes with overhead of encryption and security of using rest api. With Object Store v2, the API call is localized to the same data center as the Runtime Manager app.

But in this case requirement is to access the OS of other mule application and not the same mule application.

You can configure a Mule app to use the Object Store REST API to store and retrieve values from an object store in another Mule app.

However, Object Store v2 is not designed for app-to-app communication.

To secure all internal APIs within an integration solution by using an API proxy to apply required authentication and authorization policies, the organization should use API Management (APIM). APIM provides a comprehensive platform to manage, secure, and analyze APIs. It allows the IT team to create API proxies, enforce security policies, control access through authentication and authorization mechanisms, and monitor API usage.

Using APIM for this purpose ensures that internal APIs are protected with standardized security policies, facilitating centralized management and governance of API traffic. This approach is specifically designed for managing APIs and their security, making it the most suitable choice among the options provided.

References

MuleSoft Documentation on API Management

Best Practices for API Security and Governance

When a Mule application using VM (Virtual Machine) queues is deployed to a customer-hosted cluster or multiple CloudHub workers, the messages are consumed by the Mule engine in a non-deterministic way. Here’s an in-depth explanation:

VM Queues Overview:

VM queues in Mule applications are used for intra-application communication, allowing different flows within the same application to exchange messages.

Deployment in Clusters or Multiple Workers:

Customer-Hosted Cluster: In a customer-hosted cluster, multiple Mule runtime instances work together to process messages. Each instance can pick up messages from the VM queue.

CloudHub Workers: When deployed on CloudHub, multiple worker instances can run the same Mule application, and each worker can access the VM queue.

Non-Deterministic Message Consumption:

Load Distribution: Messages are distributed among the available nodes or workers based on their availability. This means any node or worker that is ready to process a message can pick it up from the queue.

No Guaranteed Order: Because any available node or worker can consume messages, the order in which messages are processed is not guaranteed, making the consumption non-deterministic.

Parallel Processing: This approach allows for parallel processing of messages, which improves the scalability and throughput of the application.

Advantages:

Scalability: By allowing multiple nodes or workers to process messages, the system can handle increased load more effectively.

Fault Tolerance: If one node or worker fails, other nodes/workers can continue processing messages from the VM queue, providing higher availability.

Considerations:

Idempotency: Ensure that the processing logic is idempotent, meaning that processing the same message more than once does not produce different outcomes. This is crucial in a non-deterministic consumption environment to avoid issues with data consistency.

Transaction Management: Proper transaction management should be in place to handle scenarios where a message might need to be reprocessed due to errors.

MuleSoft Documentation on VM Connector

MuleSoft Documentation on High Availability Clustering

MuleSoft Documentation on Deploying to CloudHub

Explanation

Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to process some item VM messages In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue Referenece: https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult

Explanation

* Mule Domain Project is ONLY available for customer-hosted Mule runtimes, but not for Anypoint Runtime Fabric

* Mule domain project is available for Hybrid and Private Cloud (PCE). Rest all provide application isolation and can't support domain project.

What is Mule Domain Project?

* A Mule Domain Project is implemented to configure the resources that are shared among different projects. These resources can be used by all the projects associated with this domain. Mule applications can be associated with only one domain, but a domain can be associated with multiple projects. Shared resources allow multiple development teams to work in parallel using the same set of reusable connectors. Defining these connectors as shared resources at the domain level allows the team to: - Expose multiple services within the domain through the same port. - Share the connection to persistent storage. - Share services between apps through a well-defined interface. - Ensure consistency between apps upon any changes because the configuration is only set in one place.

* Use domains Project to share the same host and port among multiple projects. You can declare the http connector within a domain project and associate the domain project with other projects. Doing this also allows to control thread settings, keystore configurations, time outs for all the requests made within multiple applications. You may think that one can also achieve this by duplicating the http connector configuration across all the applications. But, doing this may pose a nightmare if you have to make a change and redeploy all the applications.

* If you use connector configuration in the domain and let all the applications use the new domain instead of a default domain, you will maintain only one copy of the http connector configuration. Any changes will require only the domain to the redeployed instead of all the applications.

You can start using domains in only three steps:

1) Create a Mule Domain project

2) Create the global connector configurations which needs to be shared across the applications inside the Mule Domain project

3) Modify the value of domain in mule-deploy.properties file of the applications

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