MCPA-LEVEL-1 DUMPS TORRENT & MCPA-LEVEL-1 STUDY MATERIALS REVIEW

MCPA-Level-1 Dumps Torrent & MCPA-Level-1 Study Materials Review

MCPA-Level-1 Dumps Torrent & MCPA-Level-1 Study Materials Review

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MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) PDF dumps are the third and most convenient format of the MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) PDF questions prep material. This format is perfect for busy test takers who prefer to study for the MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) exam on the go. Questions bank in the Actual4test MuleSoft MCPA-Level-1 Pdf Dumps is accessible via all smart devices. We also update MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) PDF questions regularly to ensure they match with the new content of the MCPA-Level-1 exam.

MuleSoft MCPA-Level-1 certification exam is a computer-based exam that is administered by MuleSoft. MCPA-Level-1 exam consists of 60 multiple-choice questions and lasts for 120 minutes. Candidates must score a minimum of 70% to pass the exam. MCPA-Level-1 Exam is available in English, Spanish, Portuguese, and Japanese.

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q59-Q64):

NEW QUESTION # 59
An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane

B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane

C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane

D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane

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

Answer: B


NEW QUESTION # 60
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

  • A. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes
  • B. From the Mule runtime or the API implementation, depending on the deployment model
  • C. From the Mule runtime or the API Manager, depending on the type of data
  • D. From the Mule runtime irrespective of the deployment model

Answer: A


NEW QUESTION # 61
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon.
This is the only downstream API dependency of that upstream API.

  • A. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
  • B. The invocation of the downstream API will run to completion without timing out
  • C. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
  • D. An SLA for the upstream API CANNOT be provided
  • E. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

Answer: B


NEW QUESTION # 62
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?

  • 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. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
  • D. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment

Answer: C

Explanation:
Explanation
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies


NEW QUESTION # 63
Refer to the exhibits.

Which architectural constraint is compatible with the API-led connectivity architectural style?

  • A. Handle customizations for the end-user application at the Process layer rather than at the Experience layer
  • B. Allow System APIs to return data that is not currently required by the identified Process or Experience APIs
  • C. Use a Process API to-orchestrate calls to multiple System APIs but not to other Process APIs:
  • D. Always use a tiered approach by creating exactly one API for each of the three layers (Experience, Process, and System)

Answer: C

Explanation:
* Understanding API-led Connectivity Layers:
* In MuleSoft's API-led connectivity approach, APIs are categorized into three layers:
* Experience Layer: This layer is responsible for providing data to the end-user applications and is often customized to meet the needs of different user interfaces.
* Process Layer: This layer is used to orchestrate and combine data from multiple System APIs. It acts as a mediator and business logic layer without directly interacting with the backend systems.
* System Layer: This layer provides direct access to the backend systems (e.g., databases, ERPs) and is usually focused on exposing atomic data operations.
* Evaluating the Architectural Constraints:
* Option A: Always using a strict tiered approach by creating exactly one API per layer is not necessarily an architectural constraint of API-led connectivity. While a layered approach is recommended, it is common to have multiple APIs in each layer as needed for different functionalities.
* Option B (Correct Answer): In API-led connectivity, Process APIs are generally responsible for orchestrating calls to System APIs and should not call other Process APIs. This maintains a clear separation of concerns, ensuring that Process APIs aggregate data from System APIs only and provide it to Experience APIs.
* Option C: System APIs are generally designed to provide only the necessary data to meet current business requirements. Allowing them to return extra data that is not needed by Process or Experience APIs is not a best practice, as it can lead to inefficiencies.
* Option D: Customizations specific to end-user applications are typically handled at the Experience Layer rather than the Process Layer, as the Experience Layer is intended to tailor the data to fit the needs of each specific client or front-end application.
* Conclusion:
* Option B is the correct answer as it aligns with the API-led connectivity principles. In this architectural style, Process APIs should orchestrate System APIs but should avoid interacting with other Process APIs to keep a clear separation of responsibilities across the layers.
For additional details, refer to MuleSoft documentation on API-led connectivity best practices, particularly around the roles of each layer in API orchestration and data handling.


NEW QUESTION # 64
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