Domain 7: Validate Transformed Code

IBM Certified watsonx Mainframe Modernization Architect v1 - Associate · 39 questions

• What is the primary goal of unit testing during the Validate phase for wca4z-generated Java modules?
• In the Validate phase, integration testing of generated Java modules specifically verifies what?
• Why is regression testing critical when validating wca4z-generated Java against the original COBOL?
• What is equivalence testing in the context of wca4z validation?
• What makes test data management particularly challenging when validating transformed COBOL-to-Java modules?
• Why is a CICS mock framework needed when unit testing a Java module generated from a CICS-integrated COBOL program?
• When validating a Java module that replaced COBOL with embedded DB2 SQL, what does a DB2 mock framework provide?
• What minimum test coverage standard is typically recommended for wca4z-generated Java modules before production promotion?
• Which wca4z capability helps accelerate creation of test cases for generated Java modules?
• During the Validate phase, how should performance of the generated Java module be compared to the original COBOL?
• What is a validation gate in the context of wca4z-based modernization?
• In wca4z validation, why is business-side user acceptance testing (UAT) important after technical testing passes?
• When a defect is found during validation of a wca4z-generated Java module, how should it be classified to guide remediation?
• How should a team establish that COBOL logic transformed into Java still behaves correctly?
• A transformed payments service is nearly ready to sit alongside its legacy counterpart in production, and the release board wants to know what must happen first. What is the answer?
• A comparative test fails when checking transformed Java against the legacy COBOL behaviour it replaces. What should the team do with that failure?
• What should validation of transformed code compare between the original and the new implementation?
• Why is code review alone insufficient to validate transformed code?
• A transformed service starts without error. What has that demonstrated?
• A proof of concept is being converted into a governed release process, and the draft criteria list successful code generation as the only bar to clear. Why is code generation alone an unsafe release criterion?
• Why is it a mistake to change a failing comparative test's expected value so it matches the transformed code's current output?
• A validation plan only tests the happy path for transformed code. What is the main gap?
• Why are user-interface screenshots a poor basis for assertions about transformed behaviour?
• The cutover plan for a transformed service has no rollback section, yet it is scheduled to take production traffic next week. What is the risk?
• During validation, several failures only appear on business cases that occur rarely in production. What does that pattern most likely indicate?
• Why does numeric precision deserve specific attention when validating COBOL-to-Java transformation?
• What makes a comparative test suite valuable when transforming COBOL to Java?
• The release checklist for a proof-of-concept-turned-governed-release treats a clean compile as business validation. What is wrong with that reasoning?
• A validation report shows the transformed Java rounds a currency field differently than the legacy COBOL did. What does this finding mean for the team?
• A test plan compares only the generated class names to the original COBOL paragraph names. What is wrong with this approach?
• Which inputs should a comparative test suite for transformed code prioritise?
• The release gate for a transformed service is being drafted, and the reviewers need to agree on which task belongs in it before the legacy service can be retired. What fits?
• The cutover schedule for a transformed service moves straight from passing tests to production traffic, with no review step in between. What should be added?
• Ahead of a production rollout, an engineer is assigned a backlog of validation failures on the transformed application. What is their task with each item?
• Which validation approach best matches the intent of comparing original and transformed implementations?
• Which statement best summarises how transformed code should be validated?
• A team has spent the quarter converting a proof of concept into a governed release process for a transformed service. Which statement best summarises the release condition for it?
• Which statement best summarises how a modernisation team should respond to validation failures on transformed code?
• A senior engineer notices the validation plan ignores numeric precision differences and only checks the happy path. What combined risk does this create?