Types of Listeners for Integrating Dataverse and Azure Service Bus

Correct Answers: B and E

Microsoft Dataverse integrates with several Azure services like Azure Service Bus, Azure Event Hubs, Azure Logic Apps, and others.

The integration depends on detecting the Dataverse's events.

The Event Framework provides this information to the declarative tools and registered extensions.

The Dataverse supports several methods of consuming the Azure Service Bus messages.

Five types of listeners can be used for integration with the Dataverse: Queue - this method is for non-critical messages.

It does not require a listener for message access.

You can read the messages in “destructive” (removing from the queue after “reading”) or “non-destructive” (leaving in a queue after “reading”).

Topic - this method is similar to the Queue, but it requires at least one subscribed listener for the topic.

It is a helpful method if you have multiple message consumers.

One-way - this method requires at least one active subscriber for Service Bus messages.

Without any subscribers, the message post will fail.

Two-way - this method is similar to the One-way listener.

Except it can provide a return message back to the Dataverse.You need to register your Dataverse plug-in to post the message.

After that, you can receive back string value from the listener.

REST - this method is similar to the Two-way listener, but it works with a REST endpoint.

Options B and E are correct because the Two-way and REST listeners can return the string value back to the Dataverse.

All other options are incorrect.

For more information about the Service Bus event listeners, please visit the below URLs:

To integrate the Dataverse and Azure Service Bus and develop a listener that can return a string value back to the Dataverse, you have several options for the types of listeners that can be implemented.

Here is a brief explanation of each of the options:

A. Queue: A queue listener listens to a specific queue on the Azure Service Bus and processes messages that are sent to that queue. The message is received by a single consumer, which ensures that the message is processed only once. After the message is processed, it is removed from the queue. In this case, you could implement a queue listener that receives messages from the Dataverse and processes them, returning a string value back to the Dataverse.

B. REST: REST stands for Representational State Transfer, and it is a way of building APIs that are lightweight and scalable. A REST listener could be implemented to listen to HTTP requests from the Dataverse and return a string value as a response.

C. One-way: A one-way listener listens for messages sent to a specific endpoint, but it does not send a response back to the sender. In this case, it would not be suitable for returning a string value back to the Dataverse.

D. Topic: A topic listener listens to messages that are sent to a specific topic on the Azure Service Bus. Multiple consumers can listen to the same topic, which allows for more flexible and scalable message processing. You could implement a topic listener that listens to messages from the Dataverse and processes them, returning a string value back to the Dataverse.

E. Two-way: A two-way listener listens for messages sent to a specific endpoint and sends a response back to the sender. In this case, it could be implemented to listen for messages from the Dataverse and return a string value back to the Dataverse.

In summary, the types of listeners that could be implemented to achieve the goal of integrating the Dataverse and Azure Service Bus and returning a string value back to the Dataverse are Queue, REST, Topic, and Two-way.