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When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.0 workers/replicas, how are messages consumed across the nodes?
A. Sequentially, from a dedicated Anypoint MQ queue
B. Sequentially, only from the primary node
C. In a non-deterministic way
D. Round-robin, within an XA transaction
Explanation:
When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.0 workers/replicas, messages are consumed in a non-deterministic way. This means that any of the nodes in the cluster or any of the workers can consume the messages from the VM queues, but there is no guaranteed order or specific pattern (such as round-robin or sequential processing).
This non-deterministic message consumption helps in distributing the load and handling messages more efficiently across multiple nodes or workers, improving the scalability and reliability of the application.
References
MuleSoft Documentation on VM Queues and Clustering
Best Practices for Deploying Mule Applications in Clusters
What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?
A. The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts
B. The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)
C. The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes
D. The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems
Explanation:
If the size of the stream exceeds the maximum, a STREAM_MAXIMUM_SIZE_EXCEEDED error is raised.
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. Reliance on an Integration-Platform-as-a-Service (iPaaS)
C. Spending too much time on enablement
D. Lack of alignment around business outcomes
Explanation:
According to MuleSoft's surveys of global IT leaders, a common cause of IT project failure is a lack of alignment around business outcomes. When IT projects do not have clear business objectives or fail to align with the strategic goals of the organization, they are more likely to face challenges and fail to deliver value. Ensuring that IT initiatives are closely tied to business goals and have stakeholder buy-in is crucial for their success.
References:
Why IT Projects Fail
Aligning IT and Business Strategies
A Mule application is deployed to a cluster of two(2) cusomter-hosted Mule runtimes. Currently the node name Alice is the primary node and node named bob is the secondary node. The mule application has a flow that polls a directory on a file system for new files.
The primary node Alice fails for an hour and then restarted.
After the Alice node completely restarts, from what node are the files polled, and what node is now the primary node for the cluster?
A. Files are polled from Alice node
Alice is now the primary node
B. Files are polled form Bob node
Alice is now the primary node
C. Files are polled from Alice node
Bob is the now the primary node
D. Files are polled form Bob node
Bob is now the primary node
Explanation
* Mule High Availability Clustering provides basic failover capability for Mule. * When the primary Mule Runtime becomes unavailable, for example, because of a fatal JVM or hardware failure or it’s taken offline for maintenance, a backup Mule Runtime immediately becomes the primary node and resumes processing where the failed instance left off. * After a system administrator recovers a failed Mule Runtime server and puts it back online, that server automatically becomes the backup node. In this case, Alice, once up, will become backup ----------------------------------------------------------------------------------------------------------------------------------------------
Reference:
https://docs.mulesoft.com/mule-runtime/4.3/hadr-guide So correct choice is : Files are polled form Bob node Bob is now the primary node
What is the MuleSoft-recommended best practice to share the connector and configuration information among the APIs?
A. Build a Mule domain project, add the Database connector and configuration to it, and reference this one domain project from each System API
B. Build a separate Mule domain project for each API, and configure each of them to use a file on a shared file store to load the configuration information dynamically
C. Build another System API that connects to the database, and refactor all the other APIs to make requests through the new System API to access the database
D. Create an API proxy for each System API and share the Database connector configuration with all the API proxies via an automated policy
Explanation:
The MuleSoft-recommended best practice for sharing the connector and configuration information among multiple APIs is to use a Mule domain project. The steps are:
Create a Mule domain project.
Add the Database connector and its configuration to the domain project.
Reference this domain project from each System API that needs to use the Database connector and configuration.
By using a domain project, you centralize the configuration and reuse it across multiple APIs. This approach ensures consistency, reduces duplication, and simplifies maintenance and updates to the connector configuration.
References
MuleSoft Documentation on Domain Projects
Best Practices for Reusable Configuration in MuleSoft
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