MCIA - Level 1 Exam - Question 14

Question

Refer to the exhibit. One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make.

Both the backend system and the API implementation are deployed to several non-production environments in addition to production.

Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.

What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

Examice · Accepted Answer

To conduct effective performance tests in a non-production environment that has rate limits, creating a mocking service that replicates the backend system's production performance characteristics is the best approach. This allows the API implementation to be tested under conditions that closely match the production environment, without being hindered by the rate limits. This method ensures that the performance tests realistically simulate the actual production environment, providing accurate performance metrics.

Pavan_Nagineni · Answer

B. Create a mocking service that replicates the backend system's production performance characteristics Then configure the API implementation to use the mocking service and conduct the performance tests

Kazzman · Answer

Correct answer should be B

sanni27 · Answer

Should be C, because the scale down performance test always happens in production identical environment. Here it is staging environment.

Outdoor25 · Answer

Should be B.

rodriguescont · Answer

Sounds B, but I just not figured out how the mocking service feature could help regarding the lack of rating limit on the backend in production

madgeezer · Answer

B. Create a mocking service that replicates the backend system's production performance characteristics Then configure the API implementation to use the mocking service and conduct the performance tests

majda091983 · Answer

could not be B because it implies to touch the API implementation

godricravenclaw · Answer

D requires a code change which is not advisable because it will not be deployed in production and will affect the performance results (even though it might be milliseconds only).

anupamgogoi · Answer

It should be C. We should have a PRODLIKE environment where we can test the functionality. Mock is not a good idea

vikas_mule · Answer

C is correct, The production environment, however, does NOT have any rate limiting. so no need to conduct rate limiting performance test in staging.

Alandt · Answer

ChatGPT:

The most effective approach is:

B. Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests.

This approach ensures realistic performance testing by bypassing non-production rate limits, simulating production-like conditions, and providing control and flexibility to accurately assess the API implementation's performance.

MCIA - Level 1 Exam - Question 14

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