2.3 Testing PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A team is refactoring a monolithic application into microservices. They have a large existing unit test suite that tests the monolith's internal classes. After the refactor, they want to maintain confidence in the system. They have limited time and budget. What is the most pragmatic testing strategy?

   • AKeep the existing unit tests and run them against the new microservices without modification.
   • BWrite new unit tests for each microservice from scratch and skip integration tests to save time.
   • CRefactor the existing unit tests to test the business logic in each microservice, and add integration tests for the interactions between services.
   • DDiscard the existing unit tests and write new integration tests for each microservice.
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2. 17foundation · easy

   In a Cloud Build pipeline, what triggers the execution of integration tests automatically?

   • AA manual approval from the release manager
   • BA push to the source repository or a pull request event
   • CA developer manually running the tests locally
   • DA scheduled job that runs every night
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4. 18foundation · easy

   A developer is using an AI coding assistant to generate unit tests for a new Python function. What is the primary purpose of reviewing and refining the AI-generated test cases before committing them?

   • ATo make the tests more complex so they exercise multiple code paths in a single test
   • BTo ensure the tests are written in the same style as the application code
   • CTo verify that the tests accurately reflect the intended behavior and cover meaningful edge cases
   • DTo ensure the tests are syntactically valid and can be parsed by the test runner
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5. 19foundation · easy

   Which practice is most important for ensuring unit tests are isolated from each other?

   • ATests should share a common database to reduce setup time
   • BTests should use global variables to simplify assertions
   • CTests should be run in alphabetical order to ensure consistency
   • DEach test should set up and tear down its own data and dependencies
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6. 20application · medium

   A team is adopting a test-driven development (TDD) workflow. A developer writes a test for a new feature and runs it; the test fails because the feature is not implemented yet. The developer then asks an AI coding assistant to implement the feature so the test passes. What is the best practice for the developer to follow after the AI assistant produces code that makes the test pass?

   • ARun the test multiple times to ensure it is not flaky, then commit.
   • BDelete the test and write a new one that better matches the AI-generated code.
   • CReview the AI-generated code for correctness, style, and potential edge cases, then refactor if necessary before committing.
   • DCommit the code immediately since the test passes, and move on to the next feature.
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