Evolving Test Processes in AI-Enabled Test Organizations CT-GENAI Practice Questions (Page 7)

Questions 31–34

1. 31application · medium

   A team uses generative AI to create synthetic test data for a system that processes financial transactions. The AI-generated data must be realistic enough to trigger validation rules but must not contain any real customer information. What is the most important test data management practice?

   • AValidate that the synthetic data conforms to the same schema and validation rules as production data.
   • BUse a sample of production data that has been anonymized.
   • CStore the synthetic data in the same database as production data for easy access.
   • DGenerate as much synthetic data as possible to cover all possible scenarios.
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2. 32foundation · easy

   Which practice is important for managing test data quality in AI-based testing?

   • AAvoiding data anonymization to preserve realism
   • BStoring all test data in a single location without backups
   • CRegularly validating and cleaning test data
   • DUsing the same test data for every test run without updates
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4. 33application · medium

   An organization's AI governance policy requires that any AI-generated test artifact be reviewed by a human before it is used in a release decision. The test team uses AI to generate test cases and execution summaries. What is the most effective way to align the test process with this policy?

   • AHave the AI tool automatically sign off on its own outputs to save time.
   • BIncorporate a formal human review checkpoint for AI-generated artifacts into the test workflow before release sign-off.
   • CUse AI-generated artifacts only for internal purposes and create separate manual artifacts for release decisions.
   • DDocument that AI was used and note that the team trusts the AI output.
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5. 34application · medium

   A test manager wants to update the weekly test report to reflect the use of generative AI in test case generation. The report currently shows only pass/fail counts and defect counts. The manager wants stakeholders to understand the value and risk of AI-generated tests. Which metric should be added to the report?

   • AThe average execution time of all test cases.
   • BThe percentage of test cases that were AI-generated and the defect detection rate for those cases.
   • CThe total number of test cases executed, regardless of origin.
   • DThe number of testers who used the AI tool during the week.
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