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

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ISQI CT-GenAI Exam Syllabus Topics:

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

1. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
B) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
C) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
D) Specify that the role is a test analyst with expertise in predictive analytics and risk management.

2. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?

A) Use of a conversational tone and improved response personalization
B) Ability to trigger automated actions beyond conversation
C) Reliance on predefined templates to generate short, factual answers
D) Ability to respond to prompts without explicit user instructions

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

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

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

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

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

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

Solutions: