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

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

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

2. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

A) iii -> iv -> i -> ii
B) i -> iv -> iii -> ii
C) iv -> i -> iii -> ii
D) iv -> iii -> i -> ii

3. A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

A) A/B testing of prompts
B) Iterative prompt modification
C) Integrating user feedback
D) Output analysis

4. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?

A) Prompt chaining
B) Zero-shot prompting
C) Few-shot prompting
D) Meta prompting

5. 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

Solutions: