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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 concept refers to breaking text into smaller units for processing by LLMs?

A) Embeddings
B) Transformer
C) Context Window
D) Tokenization

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

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

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

4. An attacker sends extremely long prompts to overflow context so the model leaks snippets from its training data. Which attack vector is this?

A) Data exfiltration
B) Malicious code generation
C) Request manipulation
D) Data poisoning

5. 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 type of cloud platform affects processing speed but not total energy draw
C) The duration of user sessions primarily affects latency but not power efficiency
D) The number of tokens processed directly determines the carbon intensity of each query

Solutions: