AUTHORITATIVE MCPA-LEVEL-1–100% FREE TEST QUESTIONS | MCPA-LEVEL-1 EXAM QUESTIONS FEE

Authoritative MCPA-Level-1–100% Free Test Questions | MCPA-Level-1 Exam Questions Fee

Authoritative MCPA-Level-1–100% Free Test Questions | MCPA-Level-1 Exam Questions Fee

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q144-Q149):

NEW QUESTION # 144
What is a key requirement when using an external Identity Provider for Client Management in Anypoint Platform?

  • A. APIs managed by Anypoint Platform must be protected by SAML 2.0 policies
  • B. Single sign-on is required to sign in to Anypoint Platform
  • C. To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider
  • D. The application network must include System APIs that interact with the Identity Provider

Answer: C

Explanation:
Explanation/Reference: https://www.folkstalk.com/2019/11/mulesoft-integration-and-platform.html


NEW QUESTION # 145
Refer to the exhibit. An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields.
The data is available partially in a database and partially in a 3rd-party CRM system.
What APIs should be created to best fit these design requirements?

A) A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes

B) One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app

C) Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system

D) A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System

  • A. Option D
  • B. Option C
  • C. Option A
  • D. Option B

Answer: B


NEW QUESTION # 146
Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?

  • A. At the API implementation
  • B. At the API proxy
  • C. At a MuleSoft-hosted load balancer
  • D. At both the API proxy and the API implementation

Answer: B

Explanation:
Correct answer: At the API proxy
*****************************************
>> API Policies can be enforced at two places in Mule platform.
>> One - As an Embedded Policy enforcement in the same Mule Runtime where API implementation is running.
>> Two - On an API Proxy sitting in front of the Mule Runtime where API implementation is running.
>> As the deployment scenario in the question has API Proxy involved, the policies will be enforced at the API Proxy.


NEW QUESTION # 147
When could the API data model of a System API reasonably mimic the data model exposed by the corresponding backend system, with minimal improvements over the backend system's data model?

  • A. When a pragmatic approach with only limited isolation from the backend system is deemed appropriate
  • B. When the System API can be assigned to a bounded context with a corresponding data model
  • C. When the corresponding backend system is expected to be replaced in the near future
  • D. When there is an existing Enterprise Data Model widely used across the organization

Answer: A

Explanation:
When a pragmatic approach with only limited isolation from the backend system is deemed appropriate.
*****************************************
General guidance w.r.t choosing Data Models:
>> If an Enterprise Data Model is in use then the API data model of System APIs should make use of data types from that Enterprise Data Model and the corresponding API implementation should translate between these data types from the Enterprise Data Model and the native data model of the backend system.
>> If no Enterprise Data Model is in use then each System API should be assigned to a Bounded Context, the API data model of System APIs should make use of data types from the corresponding Bounded Context Data Model and the corresponding API implementation should translate between these data types from the Bounded Context Data Model and the native data model of the backend system. In this scenario, the data types in the Bounded Context Data Model are defined purely in terms of their business characteristics and are typically not related to the native data model of the backend system. In other words, the translation effort may be significant.
>> If no Enterprise Data Model is in use, and the definition of a clean Bounded Context Data Model is considered too much effort, then the API data model of System APIs should make use of data types that approximately mirror those from the backend system, same semantics and naming as backend system, lightly sanitized, expose all fields needed for the given System API's functionality, but not significantly more and making good use of REST conventions.
The latter approach, i.e., exposing in System APIs an API data model that basically mirrors that of the backend system, does not provide satisfactory isolation from backend systems through the System API tier on its own.
In particular, it will typically not be possible to "swap out" a backend system without significantly changing all System APIs in front of that backend systemand therefore the API implementations of all Process APIs that depend on those System APIs! This is so because it is not desirable to prolong the life of a previous backend system's data model in the form of the API data model of System APIs that now front a new backend system.
The API data models of System APIs following this approach must therefore change when the backend system is replaced.
On the other hand:
>> It is a very pragmatic approach that adds comparatively little overhead over accessing the backend system directly
>> Isolates API clients from intricacies of the backend system outside the data model (protocol, authentication, connection pooling, network address, ...)
>> Allows the usual API policies to be applied to System APIs
>> Makes the API data model for interacting with the backend system explicit and visible, by exposing it in the RAML definitions of the System APIs
>> Further isolation from the backend system data model does occur in the API implementations of the Process API tier


NEW QUESTION # 148
Refer to the exhibit.

Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities

B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices

C) Build all API data models using XML schema to drive consistency and reuse across the organization

D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant

  • A. Option D
  • B. Option A
  • C. Option B
  • D. Option C

Answer: C


NEW QUESTION # 149
......

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