MuleSoft-Platform-Architect-I Exam Dumps : Salesforce Certified MuleSoft Platform Architect 1 Exam (SP25)

Understanding the Requirements:

Business Groups: The solution must support two business groups, which typically require separate VPCs for logical separation.

High Availability (HA): Requires deploying resources across multiple availability zones.

Dedicated Load Balancer (DLB): Traffic should be routed via DLBs, which operate within VPCs on CloudHub.

Separate Environments: There needs to be separation between production and non-production environments.

Evaluating the Options:

Option A: Using a single production and non-production VPC and differentiating business groups via availability zones is not ideal as it does not provide full separation for each business group, and using maximum CIDR allocation is wasteful.

Option B (Correct Answer): Creating separate production and non-production VPCs per business group with minimized CIDR blocks, multiple availability zones, and multiple workers per application for HA meets all requirements effectively.

Option C: While this option separates VPCs per business group, it does not fully address the requirement for HA across availability zones by specifying multi-zone deployment only during API deployment, which may not guarantee redundancy.

Option D: Configuring subnets to differentiate business groups within a single production and non-production VPC does not fully separate the business groups, which is a requirement.

Conclusion:

Option B is the best choice as it meets the requirements for high availability, business group separation, and cost efficiency by using minimized CIDR allocations and deploying multiple workers across availability zones.

For further reference, refer to MuleSoft's documentation on VPC configuration and high availability deployment strategies.

Processing Requirements and Storage Mechanism:

The Reservation Mule application will be deployed to multiple CloudHub workers/replicas, meaning that each worker must share state information to handle records exactly once. This requires a shared storage mechanism where state can be stored and accessed by multiple instances to avoid duplicate processing of the same records.

A Persistent Object Store in Anypoint Platform can be used to store records in a way that is accessible across multiple workers, providing a reliable mechanism for "exactly once" processing.

Evaluating the Options:

Option A (Correct Answer): A Persistent Object Store is designed to retain data across different application instances and can be shared by all workers on CloudHub. It helps achieve idempotency by ensuring that a record is processed exactly once.

Option B: Runtime Fabric Object Store is used for applications deployed in Anypoint Runtime Fabric, not CloudHub. This option would not be compatible with the CloudHub deployment.

Option C: A Non-persistent Object Store does not retain data across application restarts or different instances, making it unsuitable for the requirement of synchronized storage for exactly-once processing.

Option D: An In-memory Mule Object Store is local to each worker and is not shared across instances, so it does not meet the requirement for a shared storage mechanism accessible to all CloudHub workers.

Conclusion:

Option A is the correct answer, as a Persistent Object Store allows data sharing across multiple CloudHub workers, enabling them to synchronize and achieve "exactly once" processing of passenger records with minimal development effort.

Refer to MuleSoft’s documentation on Object Store configurations and usage for best practices on handling state across distributed instances.

MUnit is MuleSoft’s testing framework for creating and running automated tests within Anypoint Studio. It is specifically designed for unit testing Mule applications and is best suited when testing doesn’t require understanding the inner workings or implementation details of the components being tested.

Ideal Use Cases for MUnit:

MUnit is optimal when testing individual flows, functions, or components in isolation. This type of testing focuses on verifying the behavior of each unit without needing to understand the complete system.

Since unit tests do not require external integrations or dependencies to be live, mocking is commonly used in MUnit to simulate the behavior of external services and APIs.

Why Option B is Correct:

Option B aligns with the concept of unit testing, where the emphasis is on testing functionality rather than system integration. Integration tests, on the other hand, would require implementation knowledge and live endpoints, making them unsuitable for MUnit’s scope.

Explanation of Incorrect Options:

Option A (read-only interactions) and Option C (no mocking) do not suit MUnit’s typical testing environment as MUnit is designed with mocking capabilities to simulate dependencies.

Option D (SoapUI-based tests) suggests an external testing tool, while MUnit is specific to MuleSoft.

ReferencesFor more on MUnit best practices, refer to MuleSoft’s MUnit documentation​.