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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

What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?

Options:

A.

The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance

B.

The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance

C.

The API policy Is defined in API Manager and then automatically applied to ALL API instances

D.

The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment

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Question 2

Mule applications that implement a number of REST APIs are deployed to their own subnet that is inaccessible from outside the organization.

External business-partners need to access these APIs, which are only allowed to be invoked from a separate subnet dedicated to partners - called Partner-subnet. This subnet is accessible from the public internet, which allows these external partners to reach it.

Anypoint Platform and Mule runtimes are already deployed in Partner-subnet. These Mule runtimes can already access the APIs.

What is the most resource-efficient solution to comply with these requirements, while having the least impact on other applications that are currently using the APIs?

Options:

A.

Implement (or generate) an API proxy Mule application for each of the APIs, then deploy the API proxies to the Mule runtimes

B.

Redeploy the API implementations to the same servers running the Mule runtimes

C.

Add an additional endpoint to each API for partner-enablement consumption

D.

Duplicate the APIs as Mule applications, then deploy them to the Mule runtimes

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