Practice: Introduction to Generative AI for Software Testing
0/18 answered
Q1K1
Which branch of AI uses neural networks to automatically learn features from large and complex datasets?
Q2K1
Match each AI type with its correct description
Items
1—Symbolic AI
2—Classical machine learning
3—Deep learning
4—Generative AI
Descriptions
A—Uses rule-based systems and logical symbols
B—Requires feature selection and model training
C—Uses neural networks to learn features automatically
D—Creates new content by learning from training data
Q3K2
Which statement BEST explains why an LLM may generate a plausible but incorrect answer?
Q4K2
A tester inputs a very long requirements document, but the LLM ignores details from the beginning. What is the MOST likely reason?
Q5K2
Which statement BEST distinguishes tokenization from embeddings?
Q6K2
Which TWO statements about LLMs are CORRECT? Statement A = They always produce the same output for the same prompt. Statement B = They require manual feature selection for each testing task. Statement C = They use numerical representations of language. Statement D = They may produce varied outputs due to probabilistic inference. Statement E = They cannot process test documentation.
Q7K2
A team needs a model for multi-step defect trend analysis and test effort prioritization. Which type is MOST suitable?
Q8K2
What is the defining characteristic of an instruction-tuned LLM?
Q9K2
Which statement about foundation LLMs is CORRECT?
Q10K2
Which statement BEST describes the relation between multimodal LLMs and vision-language models?
Q11K2
A tester provides a GUI screenshot and a user story to identify inconsistencies. Which capability is being used?
Q12K2
How are images typically prepared for processing in multimodal transformer models?
Q13K2
Which option is the BEST example of LLM support for requirements analysis?
Q14K2
Which TWO are key LLM capabilities for software testing? Capability A = Guaranteeing defect-free releases. Capability B = Eliminating the need for testers. Capability C = Generating test data with boundary values. Capability D = Summarizing test results and classifying anomalies. Capability E = Removing the need for requirements.
Q15K2
Which statement BEST describes LLM support for test oracle generation?
Q16K2
Which statement BEST differentiates AI chatbots from LLM-powered testing applications?
Q17K2
A tester wants quick clarification of possible test ideas during exploratory testing. Which interaction model is MOST suitable?
Q18K2
An organization wants automated defect report summarization inside its existing test management tool. Which approach BEST fits?
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