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MCPA-Level-1 Exam Dumps : MuleSoft Certified Platform Architect - Level 1

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MuleSoft Certified Platform Architect - Level 1 Questions and Answers

Question 1

Refer to the exhibit.

A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.

What is required to successfully invoke the API?

Options:

A.

The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment

B.

The client ID and secret for the Anypoint Platform account's STAGING environment

C.

The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment

D.

A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret

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Question 2

Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.

What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?

Options:

A.

Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users

B.

Apply a client ID enforcement policy; the specific group of users will configure their client applications to use their specific client credentials

C.

Apply an IP whitelist policy; only the specific users' workstations will be in the whitelist

D.

Apply an OAuth 2.0 access token enforcement policy; the internal Active Directory will be configured as the OAuth server

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