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| Section | Weight | Objectives |
|---|---|---|
| Initiating Integration Solutions on Anypoint Platform | 8% | - Application Network concepts and architecture - Integration strategy and requirements definition - Operational models including Center for Enablement (C4E) - API-led connectivity principles and design |
| Designing Architecture Using Integration Paradigms | 30% | - Batch processing and data synchronization strategies - Error handling, reliability, and transaction management - Legacy system integration and modernization approaches - API design standards, versioning, and lifecycle management - Event-driven architecture and messaging patterns - Synchronous vs asynchronous integration patterns - Data transformation, mapping, and data quality |
| Developing and Managing Mule Applications | 42% | - Application structure, modularity, and reusability - Logging, monitoring, and alerting design - Security implementation: authentication, authorization, encryption - Deployment pipelines, CI/CD, and DevOps practices - Testing strategies: unit, integration, performance, and automated testing - Connector selection and configuration best practices - Governance, policies, and compliance enforcement - Disaster recovery and business continuity planning - DataWeave transformation and expression usage |
| Designing for the Runtime Plane Technology Architecture | 20% | - Scalability, high availability, and fault tolerance design - Runtime security and access control - Resource allocation and performance optimization - Clustering and load balancing configurations - Runtime deployment options: CloudHub, On-Premises, Hybrid |
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NEW QUESTION # 114
Which of the following are fundamental features available to all Mule applications? (Choose Two)
Answer: A,D
NEW QUESTION # 115
How does Mule runtime clustering improve system performance and fault tolerance? (Choose Two)
Answer: C,D
NEW QUESTION # 116
A developer has been tasked by the integration architect to build a solution based on the Streaming API. The developer has done some research and has found there are different implementations of the events in Salesforce (Push Topic Events, Change Data Capture, Generic Streaming, Platform Events), but is unsure of to proceed with the implementation. The developer asks the system architect for some guidance.
What should the architect consider when making the recommendation?
Answer: C
NEW QUESTION # 117
A large enterprise customer with the following system landscape is planning to implement Salesforce Sales Cloud.
The following business processes need to be supported in Salesforce:
1. Sales Consultants should be able to have access to current inventory.
2. Enterprise Resource Planning System(ERP) is the system of record for pricing information.
3. Quotes should be generated in Salesforce with pricing from ERP.
4. Sales Management uses a Enterprise Business Intelligence (BI) toolto view Sales dashboards.
5. Master Data Management (MDM) is the system of record for customers and prospects.
6. Invoices should be accessible in Salesforce.
Which systems in the landscape should the Integration Consultant consider to be integrated with Salesforce to support the business requirements?
Answer: A
NEW QUESTION # 118
In an organization, there are multiple backend systems that contain customer-related dat a. There are multiple client systems that request the customer data from only one or more backend systems.
How can the integration between the source and target systems be designed to maximize efficiency?
Answer: B
NEW QUESTION # 119
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