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MuleSoft-Integration-Architect-I Dumps & MuleSoft-Integration-Architect-I New Study Guide

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

Topic
Details

Topic 1

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 2

Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI
CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.

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 and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

Topic 5

Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.

Topic 6

Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q243-Q248):

NEW QUESTION # 243
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 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
C. Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services
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 # 244
Which Exchange asset type represents configuration modules that extend the functionality of an API and enforce capabilities such as security?

A. Policies
B. RESTAPIs
C. Connectors
D. Rulesets

Answer: A

NEW QUESTION # 245
A company is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTP5 POST and must be acknowledged immediately.
Once acknowledged the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to the rejections from the back-end system will need to be processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization's firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
Which combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

A. One or more On Error scopes to assist calling the back-end system An Untill successful scope containing VM components for long retries A persistent dead-letter VM queue configure in Cloud hub
B. One or more on-Error scopes to assist calling the back-end system one or more ActiveMQ long-retry queues A persistent dead-letter Object store configuration in the CloudHub object store service
C. A batch job scope to call the back in system An Untill successful scope containing Object Store components for long retries. A dead-letter object store configured in the Mule application
D. An Until Successful scope to call the back-end system One or more ActiveMQ long-retry queues One or more ActiveMQ dead-letter queues for manual processing

Answer: D

NEW QUESTION # 246
A team would like to create a project skeleton that developers can use as a starting point when creating API Implementations with Anypoint Studio. This skeleton should help drive consistent use of best practices within the team.
What type of Anypoint Exchange artifact(s) should be added to Anypoint Exchange to publish the project skeleton?

A. A RAML archetype and reusable trait definitions to be reused across API implementations
B. a Mule application template with the key components and minimal integration logic
C. An example of an API implementation following best practices
D. A custom asset with the default API implementation

Answer: B

Explanation:
* Sharing Mule applications as templates is a great way to share your work with other people who are in your organization in Anypoint Platform. When they need to build a similar application they can create the mule application using the template project from Anypoint studio.
* Anypoint Templates are designed to make it easier and faster to go from a blank canvas to a production application. They're bit for bit Mule applications requiring only Anypoint Studio to build and design, and are deployable both on-premises and in the cloud.
* Anypoint Templates are based on five common data Integration patterns and can be customized and extended to fit your integration needs. So even if your use case involves different endpoints or connectors than those included in the template, they still offer a great starting point.
Some of the best practices while creating the template project: - Define the common error handler as part of template project, either using pom dependency or mule config file - Define common logger/audit framework as part of the template project - Define the env specific properties and secure properties file as per the requirement - Define global.xml for global configuration - Define the config file for connector configuration like Http,Salesforce,File,FTP etc - Create separate folders to create DWL,Properties,SSL certificates etc - Add the dependency and configure the pom.xml as per the business need - Configure the mule-artifact.json as per the business need

NEW QUESTION # 247
An organization is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to rejections from the back-end system will need to be processed manually (outside the back-end system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization's firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

A. A Batch Job scope to call the back-end system
An Until Successful scope containing Object Store components for long retries A dead-letter object store configured in the Mule application
B. An Until Successful scope to call the back-end system
One or more ActiveMQ long-retry queues
One or more ActiveMQ dead-letter queues for manual processing
C. One or more On Error scopes to assist calling the back-end system
An Until Successful scope containing VM components for long retries
A persistent dead-letter VM queue configured in CloudHub
D. One or more On Error scopes to assist calling the back-end system
One or more ActiveMQ long-retry queues
A persistent dead-letter object store configured in the CloudHub Object Store service

Answer: B

NEW QUESTION # 248
......

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