RELIABLE EXAM MCPA-LEVEL-1 DURATION, MCPA-LEVEL-1 RELIABLE DUMPS PPT

Reliable Exam MCPA-Level-1 Duration, MCPA-Level-1 Reliable Dumps Ppt

Reliable Exam MCPA-Level-1 Duration, MCPA-Level-1 Reliable Dumps Ppt

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Tags: Exam MCPA-Level-1 Duration, MCPA-Level-1 Reliable Dumps Ppt, Reliable MCPA-Level-1 Exam Blueprint, MCPA-Level-1 Exam Dumps Free, MCPA-Level-1 Valid Test Preparation

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The MCPA-Level-1 Certification Exam is designed to test the skills and knowledge required to design, build, and deploy integration solutions using the MuleSoft Anypoint Platform. MCPA-Level-1 exam consists of scenario-based questions that assess the candidate's ability to use Anypoint Platform components such as connectors, transformers, routers, and more, to solve complex integration problems. MCPA-Level-1 exam also tests the candidate's knowledge of API design, security, and governance best practices.

Topics of MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam

Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our mcpa-level-1 practice exams will include the topics discussed in detail:

  • Specify alerts to define for API implementations
  • Define and describe the benefits of API-led connectivity and application networks
  • When asynchronous execution of API invocations is needed, select when to appropriately use polling or callbacks
  • Describe and select between the options for performing API analytics within and outside of Any point Platform
  • Identify idempotent HTTP methods and HTTP-native support for optimistic concurrency.
  • Describe the role and characteristics of the “modern API.”
  • Given specific organizational requirements, preferences, and constraints, identify all suitable point Platform deployment options
  • Break down functional requirements into business-aligned APIs with effective granularity. Given a set of APIs and specific preferences and organizational characteristics, recommend the use of an Enterprise Data Model or Bounded Context Data Models
  • Given an API policy with specific characteristics, identify any change required in the corresponding RAML definition
  • Describe the capabilities and high-level components of Any point Platform
  • Identify the components of Any point Platform that generate data for monitoring and alerting
  • Given a layer of API-led connectivity, identify API policies that are typically applied to that layer and the scenarios needing custom policies
  • Select Any point Platform identity management vs client management for the correct purpose

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q85-Q90):

NEW QUESTION # 85
How are an API implementation, API client, and API consumer combined to invoke and process an API?

  • A. The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation
  • B. The API consumer creates an API implementation, which receives API invocations from an API such that they are processed for an API client
  • C. The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
  • D. The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation

Answer: B


NEW QUESTION # 86
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 C
  • C. Option A
  • D. Option B

Answer: B


NEW QUESTION # 87
What are 4 important Platform Capabilities offered by Anypoint Platform?

  • A. API Design and Development, API Deprecation, API Versioning, API Consumer Engagement
  • B. API Design and Development, API Runtime Execution and Hosting, API Versioning, API Deprecation
  • C. API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
  • D. API Versioning, API Runtime Execution and Hosting, API Invocation, API Consumer Engagement

Answer: C

Explanation:
API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
*****************************************
>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks


NEW QUESTION # 88
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 there is an existing Enterprise Data Model widely used across the organization
  • D. When the corresponding backend system is expected to be replaced in the near future

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 # 89
What Mule application can have API policies applied by
Anypoint Platform to the endpoint exposed by that Mule application?
A) A Mule application that accepts requests over HTTP/1.x

B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response

C) A Mute application that accepts JSON requests over WebSocket

D) A Mule application that accepts gRPC requests over HTTP/2

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

Answer: D

Explanation:
Correct answer: Option A
*****************************************
>> Anypoint API Manager and API policies are applicable to all types of HTTP/1.x APIs.
>> They are not applicable to WebSocket APIs, HTTP/2 APIs and gRPC APIs


NEW QUESTION # 90
......

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