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Anypoint Platform Architecture: Integration Solutions

  1. Identify and document the overall design intentions of Anypoint Platform
  2. Summarize Anypoint Platform capabilities and high-level components
  3. Identify and distinguish between Anypoint Platform infrastructure and deployment options
  4. Choose Anypoint Platform components to be used to meet the functional and non-functional requirements of an integration use case
  1. Explain the typical uses of Mule components (including connectors, transformers, routers, and error handlers) in Mule applications
  2. Describe the differences between Mule 4 and Mule 3 applications
  3. Choose appropriate Mule application components to design an integration use case
  4. Summarize how class loading isolation is implemented in Mule runtimes
  1. Distinguish between Mule 4 blocking, non-blocking, parallel, and reactive event processing options
  2. Identify the event processing models used in various Mule 4 scopes and components
  3. Describe Mule 4 streaming options and behaviors
  4. Describe the event processing options for JMS and VM connectors
  5. Select appropriate event processing for an integration use case
  6. Design batch, near real-time, and real-time data synchronization integration use cases
  1. Describe reusable ways to transform and process events
  2. Explain how to simplify and decouple complex data mappings using common data models
  3. Design transformations between data models
  4. Choose the best event transformation, data validation, and event routing patterns to an integration use case
  1. Describe possible testing strategies for Mule applications
  2. Document a testing strategy for an integration use case
  3. Define the types of MUnit tests required for an integration use case and document the code coverage
  4. Design integration and performance tests for Mule applications
  1. Distinguish between various Anypoint Platform runtime service models
  2. Distinguish between various Anypoint Platform deployment models
  3. Select the best deployment and runtime service options for an integration use case
  1. Decide the best way to store Mule application state in persistent or non-persistent storage
  2. Explain how to store Mule application state using Object Store v2
  3. Decide when to manage storage of Mule application state using persistent VM queues
  4. Decide when to use Mule application provided caches to store Mule application state
  5. Design an integration solution to avoid duplicate processing of previous records using Mule connector watermarks
  6. Design the best storage and state management options for an integration use case
  1. Describe auditing and logging options for Mule applications
  2. Design logging strategies for Mule applications
  3. Choose logging policies for Mule application log files
  4. Describe integration options with third-party log management systems
  5. Specify Anypoint Platform monitoring, alerting, notification, visualization, and reporting options for APIs and integration solutions
  6. Choose the best monitoring, alerting, and notification options for an integration use case
  1. Design to manage property files for Mule applications across different environments
  2. Design to manage Anypoint Platform environments for Mule application deployments
  3. Describe how to implement continuous integration and continuous delivery (CI/CD) for an organization
  4. Describe how to automate deployment and management with Anypoint Platform
  1. Identify why and when transactions are supported in Mule applications
  2. Identify resources that participate in transactions in Mule applications
  3. Describe how to manage a transaction using a transaction manager or the Saga pattern
  4. Describe how to demarcate transaction boundaries in Mule applications
  5. Choose the correct transaction type based on the participating resources
  1. Identify and distinguish between reliability patterns for Mule application and their deployments
  2. Design to effectively balance competing non-functional requirements
  3. Clarify and validate reliability goals for an integration use case
  4. Design Mule applications and their deployments to meet reliability goals
  5. Design to effectively balance reliability goals with other project goals and requirements
  1. Identify various types of high availability (HA) goals for Mule applications
  2. Identify ways to achieve HA in CloudHub and on-premises deployments
  3. Identify HA aware connectors and their design tradeoffs
  4. Describe how clustering and load balancing work in CloudHub and on-premises deployments
  5. Design to effectively balance HA goals with other project goals and requirements
  1. Clarify performance goals for Mule applications
  2. Identify the need for performance optimization and associated tradeoffs
  3. Describe ways to search for and locate performance bottlenecks
  4. Describe how to design, architect, design, and implement for performance
  5. Describe ways to measure performance
  6. Describe methods and best practices to performance tune Mule applications and Mule runtimes
  7. Design to effectively balance performance goals with reliability and HA goals
  1. Describe Anypoint Platform security concepts and options
  2. Explain how to secure APIs on Anypoint Platform
  3. Differentiate between MuleSoft and customer responsibilities related to Anypoint Platform security
  4. Evaluate security risks for Mule applications
  5. Describe how to secure Mule application properties and data in transit
  1. Describe Anypoint Platform network security options and architectures
  2. Identify MuleSoft-owned and customer-owned roles and responsibilities related to Anypoint Platform network security
  3. Describe how to secure Mule applications using Java key stores
  4. Design TLS communication and other network security options for an integration use case
  5. Properly size an Anypoint VPC to support deployment of all expected Mule applications
  1. Review the essential steps for designing an integration solution using Anypoint Platform and Mule applications
  2. Carry out all the steps to design an integration solution for an integration use case

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Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
 

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