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How to Prepare for MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam

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MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Certification Path

MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 exam is foundation level Certification. As such, there is no prerequisite for this course. Anyone who is having a keen interest and familiar with MuleSoft technology is well invited to pursue this certification.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q73-Q78):

NEW QUESTION # 73
What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?

  • A. A higher number of discoverable API-related assets in the application network
  • B. A decrease in the number of connections within the application network supporting the business process
  • C. An overall tower usage of resources because each fine-grained API consumes less resources
  • D. A better response time for the end user as a result of the APIs being smaller in scope and complexity

Answer: C
NEW QUESTION # 74
A Mule application exposes an HTTPS endpoint and is deployed to the CloudHub Shared Worker Cloud. All traffic to that Mule application must stay inside the AWS VPC.
To what TCP port do API invocations to that Mule application need to be sent?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D
NEW QUESTION # 75
What condition requires using a CloudHub Dedicated Load Balancer?

  • A. When custom DNS names are required for API implementations deployed to customer-hosted Mule runtimes
  • B. When server-side load-balanced TLS mutual authentication is required between API implementations and API clients
  • C. When API invocations across multiple CloudHub workers must be load balanced
  • D. When cross-region load balancing is required between separate deployments of the same Mule application

Answer: B
NEW QUESTION # 76
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 A
  • B. Option B
  • C. Option D
  • D. Option C

Answer: A Explanation:
Correct answer: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
****************************************
>> The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
>> Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.

NEW QUESTION # 77*
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?

  • A. Redis distributed cache
  • B. java.util.WeakHashMap
  • C. File-based storage
  • D. Persistent Object Store

Answer: C
NEW QUESTION # 78
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