Question 1

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?

Options :

A : Overfitting caused by small dataset size.

B : Opacity in the model’s reasoning.

C : Computational overhead in processing large models.

D : Poor training data quality.

Answer: D

Question 2

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?

Options :

A : Zero-shot prompting

B : Meta prompting

C : Few-shot prompting

D : Multimodal prompting

Answer: C

Question 3

4.1.3 What is the main focus of the hands-on demonstration of an LLM-powered agent?

Options :

A : Measuring energy consumption compared to traditional automation.

B : Demonstrating input data, the agent’s behavior, and its resulting actions.

C : Comparing autonomous vs semi-autonomous performance.

D : Evaluating orchestration as a method to reduce hallucinations.

Answer: B

Question 4

4.2.2 An organization develops an in-house LLM-based test automation framework. While privacy and control are maximized, the QA lead finds inconsistencies in how outputs are validated and maintained over time. Which LLMOps practice is essential to address this?

Options :

A : Establishing structured processes for validation and maintenance.

B : Outsourcing validation tasks to the LLM-as-a-Service provider.

C : Reducing dataset size to lower validation effort.

D : Limiting model retraining cycles to once per year.

Answer: A

Question 5

2.2.1 A tester provides an LLM with regulatory compliance requirements, historical defect data, and business rules. Which GenAI-supported test analysis task is most directly enabled by this combination?

Options :

A : Identifying ambiguities in GUI layouts

B : Generating non-prioritized test conditions

C : Prioritizing test conditions based on risk level

D : Suggesting test techniques based solely on text patterns

Answer: C