CT-GenAI 試験問題を無料オンラインアクセス

Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

• A.Designing custom CPU instructions
• B.Writing low-level device drivers
• C.Mastering prompt engineering
• D.Configuring network routers

What is a key data-related aspect when defining a GenAI strategy for testing?

• A.Neglect legacy data sources as they provide limited immediate relevance to testing tasks
• B.Aggregate data from all available organizational repositories without filtration
• C.Prioritize accurate and relevant input data secured through defined quality procedures
• D.Use only auto-generated synthetic data to avoid dependency on enterprise repositories

Which AI approach requires feature engineering and structured data preparation?

• A.Generative AI
• B.Symbolic AI
• C.Deep Learning
• D.Classical Machine Learning

Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

• A.Strict GDPR compliance eliminates all privacy risk
• B.GenAI outputs can accidentally reveal sensitive information present in inputs
• C.Using GenAI without regulatory compliance can lead to legal exposure
• D.Some GenAI tools may store/process data without explicit consent

What defines a prompt pattern in the context of structured GenAI capability building?

• A.Using ad hoc prompts without reference to previously proven structures or examples
• B.Treating prompts as access credentials or compliance records rather than functional templates
• C.Applying a reusable and structured template that guides GenAI models toward consistent outputs
• D.Maintaining static documentation repositories without real-time prompt standardization processes