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MuleSoft-Platform-Architect-I Practice Test


Page 1 out of 20 Pages

A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?


A. Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.


B. Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager


C. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager


D. Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment





A.
  Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIsB.

Explanation

Correct Answer: Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIs

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Anypoint Exchange is for asset discovery and documentation. It has got no provision to modify the properties of Mule API implementations at all.

 API Manager is for managing API instances, their contracts, policies and SLAs. It has also got no provision to modify the properties of API implementations.

API policies are to address Non-functional requirements of APIs and has again got no provision to modify the properties of API implementations.

So, the right way and recommended way to do this as part of development practice is to bundle properties files for each environment into the Mule API implementation and just point and refer to respective file per environment.

What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?


A. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design


B. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region


C. The FQDNs are determined by the application name, but can be modified by an administrator after deployment


D. The FQDNs are determined by both the application name and the Anypoint Platform organization





B.
  The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region

Explanation

Correct Answer: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region

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 When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.

It does NOT matter what region the app is being deployed to.

Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.

Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.

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?


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





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

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.

Which of the following best fits the definition of API-led connectivity?


A. API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization


B. API-led connectivity is a 3-layered architecture covering Experience, Process and System layers


C. API-led connectivity is a technology which enabled us to implement Experience, Process and System layer based APIs





A.
  API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization

Explanation

Correct Answer: API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization.

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Reference: [Reference: https://blogs.mulesoft.com/dev/api-dev/what-is-api-led-connectivity/, , ]

Once an API Implementation is ready and the API is registered on API Manager, who should request the access to the API on Anypoint Exchange?


A. None


B. Both


C. API Client


D. API Consumer





D.
  API Consumer

Explanation

Correct Answer: API Consumer

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API clients are piece of code or programs that use the client credentials of API consumer but does not directly interact with Anypoint Exchange to get the access

API consumer is the one who should get registered and request access to API and then API client needs to use those client credentials to hit the APIs

So, API consumer is the one who needs to request access on the API from Anypoint Exchange


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