Integration testing and performance test design
How to tell unit, integration and functional test requirements apart, and how to design a Mule performance test: prerequisites and criteria, a controlled environment, consistent tools, component isolation, representative workloads, iterative execution and resource monitoring.
Identify test requirements and scenarios that are best addressed using integration testing or performance testing.
~7 min read · 6 practice questions
What the exam expects
- Decide whether a requirement calls for a unit, integration or functional test, and what environment and data checks an integration test needs.
- State the prerequisites that must hold before a performance test starts, including the criteria to establish.
- Design a controlled performance test environment for CloudHub and on-premises deployments.
- Isolate components to find a bottleneck, and build representative workloads.
- Run performance tests iteratively and monitor the resources Mule consumes while they run.
Integration test: validates that different units of code and modules work together as intended. Functional test: tests the use cases envisioned for the application as a whole. Performance test criteria: the expected workloads, the specific need (throughput, response time, concurrency or large messages) and the minimum throughput and maximum response time. Representative workload: a test scenario built from real user behavior, workload and payloads. Think time: a pause between requests that imitates real users (Test Mule Applications, Performance Test Validations).
Key facts
- Detail
- Units of code and modules work together as intended
- Detail
- Verify the correct state before and after the integration test
- Detail
- The app works as expected; a wrong flow gives false-positive data
- Detail
- Payload bigger than 1 MB
- Detail
- Load client and backend on dedicated machines in the worker's region
- Detail
- Load client, runtime and backend in the same Anypoint VPC
- Detail
- Execute all tests again
- Detail
- One change at a time, each test run several times
- Detail
- Mule flows and configurations
- Detail
- Runtime Manager dashboard or Anypoint Monitoring
- When does a performance use case count as "managing large messages"?
- Why parameterize outbound database and HTTP addresses with placeholders?
- Which two tools does the guidance name for monitoring Mule app performance on CloudHub?
- Which
sarcommand and metrics does the guidance use to watch memory on Linux during a test?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the MuleSoft Platform Integration Architect pack
- Core concepts
- Exam traps
- Worked scenario
The pack includes:
- All 40 lessons of the MuleSoft Platform Integration Architect guide, with reading progress
- Interactive decision walks and step-by-step sequence steppers
- Practice exams purchase adds inline bank questions and topic practice (6 questions for this lesson)
- An official source cited for every claim
- An AI tutor that answers from the guide
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