Free ISTQB CT-GenAI Exam Questions

Become ISTQB Certified with updated CT-GenAI exam questions and correct answers

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Total 224 Questions | Updated On: Aug 01, 2026

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Question 1

1.1.4 During a training exercise, a team is instructed to review and execute a prompt for a multimodal LLM. They must first inspect both an application screenshot and its textual requirements, then execute the prompt and verify results. What is the main goal of this exercise?

A : To practice manual visual comparison of UI elements

B : To demonstrate combined text and image input processing for testing

C : To fine-tune a vision-language model for a new dataset

D : To convert all visual data to textual descriptions before analysis

Answer: B

Question 2

3.4.1 A QA lead is tasked with ensuring that their GenAI testing pipeline follows best practices for data quality, transparency, and fault tolerance. Which standard directly addresses these needs?

A : NIST AI Risk Management Framework

B : ISO/IEC 42001:2023

C : ISO/IEC 23053:2022

D : EU AI Act

Answer: C

Question 3

1.1.2 A test automation engineer feeds a mixed dataset of code snippets and documentation to an LLM for generating automation scripts. Outputs have syntax errors when code exceeds certain length. The engineer wants to maintain long input capability without syntax degradation. What should be done?

A : Use code-specific embeddings and segment inputs logically before processing

B : Reduce the context window size to force the model to focus on recent input

C : Increase temperature for more diverse code suggestions

D : Replace LLM with SLM for smaller processing footprint

Answer: A

Question 4

Which statement about fine-tuning for test tasks is INCORRECT?

A : It adapts a pre-trained model to a domain using task-specific data

B : It replaces the model’s general knowledge entirely and prevents overfitting

C : It enhances relevance to organizational terminology and formats

D : It can be applied to smaller SLMs to improve task performance with lower compute

Answer: B

Question 5

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

A : The number of tokens processed directly determines the carbon intensity of each query

B : The location of the data center determines model bias and accuracy levels

C : The duration of user sessions primarily affects latency but not power efficiency

D : The type of cloud platform affects processing speed but not total energy draw

Answer: A

Page: 1 / 45

Total 224 Questions | Updated On: Aug 01, 2026

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