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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. Which AI approach requires feature engineering and structured data preparation?

A) Classical Machine Learning
B) Symbolic AI
C) Generative AI
D) Deep Learning

2. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?

A) Prioritize requirements -> generate conditions -> review defects
B) Generate conditions -> prioritize by risk -> map to requirements to find gaps
C) Detect requirement defects -> generate conditions -> prioritize
D) Generate prioritized conditions in one shot -> verify coverage

3. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The location of the data center determines model bias and accuracy levels
B) The duration of user sessions primarily affects latency but not power efficiency
C) The number of tokens processed directly determines the carbon intensity of each query
D) The type of cloud platform affects processing speed but not total energy draw

4. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?

A) It produces scripted conversational responses similar to traditional bots
B) It focuses primarily on visual dashboards and user navigation features
C) It provides fixed responses from predefined rule sets and scripts
D) It dynamically generates test insights using contextual information

5. What does an embedding represent in an LLM?

A) Numerical vectors capturing semantic relationships
B) Tokens grouped into context windows
C) Logical rules for reasoning
D) A set of test cases for validation

Solutions: