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

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Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) Questions and Answers

Question 1

The implementation of a Process API must change.

What is a valid approach that minimizes the impact of this change on API clients?

Options:

A.

Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition

B.

Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version

C.

Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged

D.

Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation

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Question 2

What is true about the technology architecture of Anypoint VPCs?

Options:

A.

The private IP address range of an Anypoint VPC is automatically chosen by CloudHub

B.

Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network

C.

Each CloudHub environment requires a separate Anypoint VPC

D.

VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network

Question 3

An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

Options:

A.

Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models

B.

Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

C.

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

D.

Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models