CV0-002 · Question #552
After load testing on the QA environment, which showed good performance results with 10,000 users, the new version was installed in the production environment. However, users are reporting…
The correct answer is A. The load testing does not cover all user scenarios. A new application version performed well during QA load testing with 10,000 users but experienced performance issues in production with only 7,000 users.
Question
After load testing on the QA environment, which showed good performance results with 10,000 users, the new version was installed in the production environment. However, users are reporting performance issues, and there are only 7,000 users currently utilizing the application. The configuration of each environment is shown in the table below. Which of the following is the MOST likely cause of differing performance in the QA and PROD environments?
Exhibit
Options
- AThe load testing does not cover all user scenarios.
- BSynchronous replication is slowing down production.
- CMore RAM needs to be configured for the QA VMs to match PROD.
- DThe QA environment should have been tested with 7000 users.
How the community answered
(27 responses)- A44% (12)
- B7% (2)
- C33% (9)
- D15% (4)
Why each option
A new application version performed well during QA load testing with 10,000 users but experienced performance issues in production with only 7,000 users.
Load tests often simulate common user flows but may miss critical, less frequent, or more resource-intensive scenarios that become apparent in a live production environment. If the QA load test did not accurately mirror real-world user behavior, including varying transaction types, data volumes, or specific edge cases, it could lead to successful QA results that don't translate to production performance.
While synchronous replication can introduce latency, the question does not provide information about replication setup in QA vs. PROD, making it not the most likely cause without further details.
The QA environment showed good performance with more users, suggesting its resources were sufficient, so configuring more RAM for QA to match PROD is unlikely to address PROD's issues.
Testing with fewer users (7,000) would likely yield better results than 10,000 users, and QA already performed well with more users, so this option does not explain the production problems.
Concept tested: Realistic performance testing practices
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