One of the backend systems involved by the API implementation enforces rate limits on the...

Question

One of the backend systems involved by the API implementation enforces rate limits on the number of request a particle client can make.
Both the back-end system and API implementation are deployed to several non-production environments including the staging environment and to a particular production environment. Rate limiting of the back-end system applies to all non-production environments.
The production environment however does not have any rate limiting.
What is the cost-effective approach to conduct performance test of the API implementation in the non-production staging environment?

Accepted Answer

C. Create a Mocking service that replicates the back-end system'sproduction performance characteristicsThen configure the API implementation to use the mockingservice and conduct the performance test

Answer

A.

Including logic within the API implementation that bypasses in locations of the back-end system in the staging environment and invoke a Mocking service that replicates typical back-end system responses

Then conduct performance test using this API implementation

Answer

B. Use MUnit to simulate standard responses from the back-end system.Then conduct performance test to identify other bottlenecks in the system

Answer

D. Conduct scaled-down performance tests in the staging environment against rate-limiting back-end system. Then upscale performance results to full production scale

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Exam MCIA-Level-1-Maintenance All Questions

MuleSoft Certified Architect MCIA-Level-1-Maintenance Question # 34 Topic 4 Discussion

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