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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing Architecture Using Integration Paradigms | 30% | - Select appropriate integration styles - Implement event-driven architectures and message brokers - Use messaging patterns and technologies - Design with web APIs and HTTP - Apply API-led connectivity principles |
| Topic 2: Designing for Runtime Plane Technology Architecture | 20% | - Design solutions for CloudHub - Use class loader isolation to avoid conflicts - Compare and select Mule runtime domains - Design for scalability, fault tolerance, and performance - Apply reactive event processing model |
| Topic 3: Designing and Developing Mule Applications | 12% | - Use core features and routers effectively - Configure application properties and environments - Apply best practices for maintainability - Integrate with Salesforce and other connectors |
| Topic 4: Designing Integration Solutions to Meet Security Requirements | 8% | - Apply authentication and authorization standards - Design edge security using Anypoint Security - Protect data in transit and at rest - Secure access to control plane and APIs |
| Topic 5: 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 |
| Topic 6: Initiating Integration Solutions on Anypoint Platform | 8% | - Apply MuleSoft Catalyst principles - Select features for API design and management - Differentiate functional and non-functional requirements - Choose appropriate deployment options |
| Topic 7: Designing Integration Solutions to Meet Reliability Requirements | 11% | - Differentiate high availability and disaster recovery - Apply local and XA transaction patterns - Use error handling and scope strategies - Select transaction strategies and alternatives |
| Topic 8: 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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質問 # 117
A Mule application uses APIkit for SOAP to implement a SOAP web service. The Mule application has been deployed to a CloudHub worker in a testing environment.
The integration testing team wants to use a SOAP client to perform Integration testing. To carry out the integration tests, the integration team must obtain the interface definition for the SOAP web service.
What is the most idiomatic (used for its intended purpose) way for the integration testing team to obtain the interface definition for the deployed SOAP web service in order to perform integration testing with the SOAP client?
正解：A
質問 # 118
Why would an Enterprise Architect use a single enterprise-wide canonical data model (CDM) when designing an integration solution using Anypoint Platform?
正解：B
解説：
An Enterprise Architect would use a single enterprise-wide canonical data model (CDM) when designing an integration solution to achieve the following benefits:
* Reduced Dependencies: By standardizing on a single data model, it simplifies the integration process between multiple systems that may use different data formats. This eliminates the need for numerous point-to-point transformations.
* Consistency and Reusability: A CDM ensures consistent data representation across the enterprise, which promotes data integrity and reusability of integration components.
* Simplified Maintenance: Having a single data model reduces the complexity of maintaining and updating integration solutions, as changes need to be made in only one place.
The CDM acts as an abstraction layer that decouples systems, facilitating easier integration and reducing the potential for errors.
References
* MuleSoft Documentation on Canonical Data Models
* Best Practices for Data Integration with MuleSoft
質問 # 119
A team has completed the build and test activities for a Mule application that implements a System API for its application network.
Which Anypoint Platform component should the team now use to both deploy and monitor the System AP\ implementation?
正解：A
質問 # 120
An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?
正解：A
解説：
When a batch job instance running on a runtime fabric environment with two cluster replicas encounters an unexpected failure, the following sequence of events occurs:
* Failure Detection: The runtime fabric environment detects the failure of the replica running the batch job.
* Replica Replacement: A new replica is provisioned to replace the failed one.
* Batch Job State Recovery: MuleSoft's batch processing mechanism ensures that the state of the batch job is periodically saved (checkpointing). This allows the new replica to resume processing from the last saved state.
* Resumption of Processing: The new replica takes over the batch job, continuing from where the previous one left off, thus processing the remaining 99,000 records without starting from scratch or causing duplicate processing.
References:
* MuleSoft Documentation on Batch Processing
* Runtime Fabric Guide
質問 # 121
Refer to the exhibit.
The HTTP Listener and the Logger are being handled from which thread pools respectively?
正解：C
解説：
In Mule applications, different components are handled by specific thread pools to optimize performance and resource utilization.
* HTTP Listener: This component handles incoming HTTP requests and is managed by the Shared Selector Pool. The Shared Selector Pool is responsible for handling non-blocking IO operations efficiently.
* Logger: The Logger component is lightweight and does not perform CPU-intensive operations. It is managed by the CPU_LITE thread pool, which is designed for lightweight CPU operations.
This separation ensures that IO-bound operations do not block CPU-bound operations, maintaining optimal performance and responsiveness in the application.
References:
* MuleSoft Threading and Thread Pools
* MuleSoft HTTP Listener Documentation
質問 # 122
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