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| Section | Weight | Objectives |
|---|---|---|
| Designing for Runtime Plane Technology Architecture | 20% | - Compare and select Mule runtime domains - Use class loader isolation to avoid conflicts - Apply reactive event processing model - Design for scalability, fault tolerance, and performance - Design solutions for CloudHub |
| Applying DevOps Practices and Operating Integration Solutions | 14% | - Manage governance and operational readiness - Design CI/CD pipelines with Mule tools - Automate Anypoint Platform interactions - Implement monitoring, logging, and alerting |
| Designing and Developing Mule Applications | 12% | - Integrate with Salesforce and other connectors - Use core features and routers effectively - Configure application properties and environments - Apply best practices for maintainability |
| Initiating Integration Solutions on Anypoint Platform | 8% | - Differentiate functional and non-functional requirements - Select features for API design and management - Apply MuleSoft Catalyst principles - Choose appropriate deployment options |
| Designing Architecture Using Integration Paradigms | 30% | - Use messaging patterns and technologies - Apply API-led connectivity principles - Implement event-driven architectures and message brokers - Select appropriate integration styles - Design with web APIs and HTTP |
| Designing Integration Solutions to Meet Security Requirements | 8% | - Secure access to control plane and APIs - Design edge security using Anypoint Security - Apply authentication and authorization standards - Protect data in transit and at rest |
| Designing Integration Solutions to Meet Reliability Requirements | 11% | - Use error handling and scope strategies - Select transaction strategies and alternatives - Differentiate high availability and disaster recovery - Apply local and XA transaction patterns |
| Designing Integration Solutions to Meet Performance Requirements | 7% | - Design for performance and capacity goals - Use streaming features effectively - Process large message volumes and sequences |
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NEW QUESTION # 99
An organization has chosen Mulesoft for their integration and API platform.
According to the Mulesoft catalyst framework, what would an integration architect do to create achievement goals as part of their business outcomes?
Answer: B
NEW QUESTION # 100
Mule application is deployed to Customer Hosted Runtime. Asynchronous logging was implemented to improved throughput of the system. But it was observed over the period of time that few of the important exception log messages which were used to rollback transactions are not working as expected causing huge loss to the Organization. Organization wants to avoid these losses. Application also has constraints due to which they cant compromise on throughput much. What is the possible option in this case?
Answer: D
Explanation:
Correct approach is to use Mixed configuration of asynchronous or synchronous loggers shoud be used to log exceptions via synchronous way Asynchronous logging poses a performance-reliability trade-off. You may lose some messages if Mule crashes before the logging buffers flush to the disk. In this case, consider that you can have a mixed configuration of asynchronous or synchronous loggers in your app. Best practice is to use asynchronous logging over synchronous with a minimum logging level of WARN for a production application. In some cases, enable INFO logging level when you need to confirm events such as successful policy installation or to perform troubleshooting. Configure your logging strategy by editing your application's src/main/resources/log4j2.xml file
NEW QUESTION # 101
An organization is designing multiple new applications to run on CloudHub in a single Anypoint VPC and that must share data using a common persistent Anypoint object store V2 (OSv2).
Which design gives these mule applications access to the same object store instance?
Answer: C
Explanation:
Object Store v2 (OSv2) in MuleSoft allows multiple applications within the same Anypoint Virtual Private Cloud (VPC) to share data. To achieve this, the OSv2 connector must be configured in each application to access the common persistent object store instance. This configuration enables the applications to read from and write to the same object store, facilitating data sharing. Object Store v2 is designed to be persistent and reliable, making it suitable for scenarios where data needs to be retained and shared across multiple applications.
MuleSoft Documentation on Object Store v2
NEW QUESTION # 102
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
Answer: C
NEW QUESTION # 103
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
Answer: C
Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports.
From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric Graphical user interface, chart Description automatically generated
NEW QUESTION # 104
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