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NEW QUESTION 31
An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?

  • A. Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
  • B. Use a spike control policy that limits the number of requests for each client application type
  • C. Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
  • D. Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

Answer: A

Explanation:
Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier
based on its type.
*****************************************
>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client type

 

NEW QUESTION 32
Refer to the exhibit.
MCPA-Level-1-Maintenance-6f14538ca019607d977faaadac77c908.jpg
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
MCPA-Level-1-Maintenance-26dc900e93971304b006785a22cc74e0.jpg
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices
MCPA-Level-1-Maintenance-7df58bf61c4b80a9b7bb853ded565f9a.jpg
C) Build all API data models using XML schema to drive consistency and reuse across the organization
MCPA-Level-1-Maintenance-bb4551a2d4cb5d138e55781894e93a07.jpg
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
MCPA-Level-1-Maintenance-8fdf02a4c8f5a5b6d53a8c8ba75f216c.jpg

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

Answer: D

Explanation:
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.
MCPA-Level-1-Maintenance-4a9b0ddc33a18107b78f4db85976500a.jpg

 

NEW QUESTION 33
What Anypoint Connectors support transactions?

  • A. Database, 3MS, HTTP
  • B. Database, JMS, VM
  • C. Database, JMS, VM, SFTP
  • D. Database, VM, File

Answer: B

 

NEW QUESTION 34
......

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