MuleSoft-Platform-Architect-I Exam Dumps : Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201)

Explanation

Correct Answer: Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers

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>> Canonical models are not an option here as the organization has already put in efforts and created bounded-context models for Experience and Process APIs.

>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned that experience and process APIs share same bounded-context model. It is just the System layer APIs that need to choose their approach now.

>> So, having an anti-corruption layer just between the process and system layers will work well. Also to speed up the approach, system APIs can mimic the backend system data model.

Explanation

Correct Answer: Manually provisioned customer-hosted runtime plane and customer-hosted control plane

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There are two key factors that are to be taken into consideration from the scenario given in the question.

>> Company requires both data and metadata to be resided within the corporate firewall

>> Company would like to go with customer-hosted infrastructure.

Any deployment model that is to deal with the cloud directly or indirectly (Mulesoft-hosted or Customer's own cloud like Azure, AWS) will have to share atleast the metadata.

Application data can be controlled inside firewall by having Mule Runtimes on customer hosted runtime plane. But if we go with Mulsoft-hosted/ Cloud-based control plane, the control plane required atleast some minimum level of metadata to be sent outside the corporate firewall.

As the customer requirement is pretty clear about the data and metadata both to be within the corporate firewall, even though customer wants to move to production as quickly as possible, unfortunately due to the nature of their security requirements, they have no other option but to go with manually provisioned customer-hosted runtime plane and customer-hosted control plane.

Understanding Coarse-Grained vs. Fine-Grained API Design:

A coarse-grained design consolidates multiple operations within a single API, leading to fewer APIs but with more complex implementations. Conversely, a fine-grained design breaks down functionalities into smaller, more specific APIs, resulting in simpler implementations but a larger number of APIs.

Evaluating the Options:

Option A (Correct Answer): With a coarse-grained design, each API handles more functionalities, increasing the complexity of each API implementation as it needs to manage more use cases and logic.

Option B: A coarse-grained design typically reduces the number of APIs, so fewer discoverable assets are available.

Option C: Fewer APIs generally mean fewer connections between them in the application network.

Option D: Network infrastructure usage may actually decrease with fewer APIs, as there are fewer calls between APIs.

Conclusion:

Option A is the correct answer, as the complexity of each API implementation increases in a coarse-grained design due to the consolidation of multiple functionalities into single APIs.

Refer to MuleSoft’s documentation on API design principles and best practices for coarse-grained vs. fine-grained API implementation.