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

Topic
Details

Topic 1

Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

Topic 2

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 3

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 4

Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.

Topic 5

Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q118-Q123):

NEW QUESTION # 118
An organization is designing a mule application to support an all or nothing transaction between serval database operations and some other connectors so that they all roll back if there is a problem with any of the connectors Besides the database connector , what other connector can be used in the transaction.

A. ObjectStore
B. VM
C. Anypoint MQ
D. SFTP

Answer: B

Explanation:
Correct answer is VM VM support Transactional Type. When an exception occur, The transaction rolls back to its original state for reprocessing. This feature is not supported by other connectors.
Here is additional information about Transaction management:
Table Description automatically generated

NEW QUESTION # 119
An organization has just developed a Mule application that implements a REST API. The mule application will be deployed to a cluster of customer hosted Mule runtimes.
What additional infrastructure component must the customer provide in order to distribute inbound API requests across the Mule runtimes of the cluster?

A. An HTTP Load Balancer
B. A database
C. An Object Store
D. A message broker

Answer: A

Explanation:
Correct answer is An HTTP Load Balancer.
Key thing to note here is that we are deploying application to customer hosted Mule runtime. This means we will need load balancer to route the requests to different instances of the cluster.
Rest all options are distractors and their requirement depends on project use case.

NEW QUESTION # 120
According to MuteSoft, which principle is common to both Service Oriented Architecture (SOA) and API-led connectivity approaches?

A. Service centralization
B. Service statefulness
C. Service interdependence
D. Service reusability

Answer: D

NEW QUESTION # 121
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 API implementation application with the new definition
B. Scaffold the client application with the new definition
C. Update the REST connector from exchange in the client application
D. Update the API connector in the API implementation and publish to exchange

Answer: C

Explanation:
When a RAML definition is updated and a new version is published to Anypoint Exchange, the client applications that consume the API need to be updated to utilize the new operations. Here's how the Mule application team can achieve this:
* Access Anypoint Exchange:
* Go to Anypoint Exchange and find the updated RAML definition of the API.
* Update the REST Connector:
* In the Mule application, locate the existing REST connector that was generated from the previous version of the API.
* Update this connector to the latest version by reimporting the RAML definition.
* This can be done via the Anypoint Studio by navigating to the Mule Palette, finding the REST connector, and updating it with the new RAML.
* Regenerate Client Code (If Necessary):
* Sometimes, updating the connector may require regenerating the client code to include new operations.
* Ensure that all new methods and endpoints are available in your Mule application after the update.
* Test New Operations:
* Incorporate and test the new operations in the Mule application to ensure they function correctly with the updated API implementation.
References
* MuleSoft Documentation: API Development
* Anypoint Studio Documentation: Using Connectors

NEW QUESTION # 122
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?

A. Extend the existing transformation services with new transformation logic and Invoke them from the new Mule application
B. Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services
C. Implement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application
D. Implement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible

Answer: D

Explanation:
Correct answer is Implement transformation logic in the new Mule application using DataWeave, invoking existing transformation services when possible. * The key here minimal testing effort, "Extend existing transformation logic" is not a feasible option because additional functionality is highly specific to the new Mule application so it should not be a part of commonly used functionality. So this option is ruled out. * "Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services" Replicating the transformation logic of existing transformation services will cause duplicity of code. So this option is ruled out. * "Implement and expose all transformation logic as microservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application" as question specifies that the transformation is app specific and wont be used outside

NEW QUESTION # 123
......

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