Free Practice ISTQB CT-GenAI Exam Questions 2026

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?

4.2.1 During fine-tuning of an LLM for test generation, the training dataset contains inconsistencies: some user stories are incomplete, and some test cases do not match the described functionality. After fine-tuning, the model frequently generates irrelevant or biased test cases. Which fine-tuning challenge does this illustrate?

Which option BEST differentiates the three prompting techniques? 

2.2.2 A Gherkin generation process produces correct syntax but omits edge case conditions. The tester adds example cases to the prompt before retrying. Which technique is this?

1.1.4 A software testing team needs to evaluate whether a multimodal LLM can handle both textual defect reports and related application screenshots in a single test prompt. What is the key preprocessing step for the image before passing it to the transformer architecture?