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| Section | Weight | Objectives |
|---|---|---|
| Initiating Integration Solutions on Anypoint Platform | 8% | - Apply MuleSoft Catalyst principles - Choose appropriate deployment options - Differentiate functional and non-functional requirements - Select features for API design and management |
| Designing for Runtime Plane Technology Architecture | 20% | - Design solutions for CloudHub - Design for scalability, fault tolerance, and performance - Compare and select Mule runtime domains - Use class loader isolation to avoid conflicts - Apply reactive event processing model |
| Applying DevOps Practices and Operating Integration Solutions | 14% | - Automate Anypoint Platform interactions - Manage governance and operational readiness - Design CI/CD pipelines with Mule tools - Implement monitoring, logging, and alerting |
| Designing Architecture Using Integration Paradigms | 30% | - Select appropriate integration styles - Apply API-led connectivity principles - Implement event-driven architectures and message brokers - Design with web APIs and HTTP - Use messaging patterns and technologies |
| Designing Integration Solutions to Meet Reliability Requirements | 11% | - Use error handling and scope strategies - Differentiate high availability and disaster recovery - Select transaction strategies and alternatives - Apply local and XA transaction patterns |
| Designing Integration Solutions to Meet Performance Requirements | 7% | - Use streaming features effectively - Design for performance and capacity goals - Process large message volumes and sequences |
| Designing Integration Solutions to Meet Security Requirements | 8% | - Apply authentication and authorization standards - Protect data in transit and at rest - Secure access to control plane and APIs - Design edge security using Anypoint Security |
| Designing and Developing Mule Applications | 12% | - Apply best practices for maintainability - Use core features and routers effectively - Configure application properties and environments - Integrate with Salesforce and other connectors |
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NEW QUESTION # 40
A company is using Mulesoft to develop API's and deploy them to Cloudhub and on premises targets.
Recently it has decided to enable Runtime Fabric deployment option as well and infrastructure is set up for this option.
What can be used to deploy Runtime Fabric?
Answer: C
Explanation:
When deploying to Runtime Fabric, there are several tools available within the Anypoint Platform ecosystem that facilitate the deployment process. These include:
* AnypointCLI: This command-line interface tool provides comprehensive capabilities for deploying applications to Runtime Fabric. Using AnypointCLI, you can script and automate deployments, which is useful for integrating into CI/CD pipelines.
* Anypoint Platform REST APIs: These APIs allow for programmatic deployment and management of applications on Runtime Fabric. They provide flexibility for integrating deployment processes with other systems and tools.
* Mule Maven Plugin: This plugin can be used within a Maven project to package and deploy Mule applications to Runtime Fabric as part of a build process.
However, directly uploading a JAR file from the Runtime Manager is not a supported method for deploying to Runtime Fabric.
References:
* Anypoint CLI Documentation
* Mule Maven Plugin Documentation
NEW QUESTION # 41
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?
Answer: A
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 # 42
An organization is building a test suite for their applications using m-unit. The integration architect has recommended using test recorder in studio to record the processing flows and then configure unit tests based on the capture events What are the two considerations that must be kept in mind while using test recorder (Choose two answers)
Answer: A,D
NEW QUESTION # 43
Additional nodes are being added to an existing customer-hosted Mule runtime cluster to improve performance. Mule applications deployed to this cluster are invoked by API clients through a load balancer.
What is also required to carry out this change?
Answer: B
Explanation:
* Clustering is a group of servers or mule runtime which acts as a single unit.
* Mulesoft Enterprise Edition supports scalable clustering to provide high availability for the Mulesoft application.
* In simple terms, virtual servers composed of multiple nodes and they communicate and share information through a distributed shared memory grid.
* By default, Mulesoft ensures the High availability of applications if clustering implemented.
* Let's consider the scenario one of the nodes in cluster crashed or goes down and under maintenance. In such cases, Mulesoft will ensure that requests are processed by other nodes in the cluster. Mulesoft clustering also ensures that the request is load balanced between all the nodes in a cluster.
* Clustering is only supported by on-premise Mule runtime and it is not supported in Cloudhub.
Correct answer is External monitoring tools or log aggregators must be configured to recognize the new nodes
* Rest of the options are automatically taken care of when a new node is added in cluster.
Reference: https://docs.mulesoft.com/runtime-manager/cluster-about
NEW QUESTION # 44
An integration team follows MuleSoft's recommended approach to full lifecycle API development.
Which activity should this team perform during the API implementation phase?
Answer: A
Explanation:
During the API implementation phase, the integration team should use the API specification to build the MuleSoft application. This involves leveraging the defined API contract to guide the development of the API' s actual implementation. By adhering to the specification, developers ensure that the API meets the agreed- upon requirements and behaviors. This phase includes coding, integrating with backend systems, and ensuring that the implementation aligns with the design and functional requirements outlined in the API specification.
References:
* API-led Connectivity Best Practices
* API Lifecycle Management
NEW QUESTION # 45
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