Question 1

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 2

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 3

1.1.4 A test engineer needs to identify mismatches between the expected UI layout described in user stories and screenshots from the latest build. They want to maximize test coverage by also generating additional test cases using the same model. Which approach is most suitable?

Options :

A : Use a multimodal LLM with a vision-language module

B : Use a reasoning LLM with chain-of-thought enabled

C : Use separate models for text and images, then combine results manually

D : Use a standard transformer trained only on text data

Answer: A

Question 4

4.1.1 In the architecture of an LLM-powered test infrastructure, which component manages authentication, data retrieval, and prompt preparation?

Options :

A : Front-end

B : Back-end

C : LLM model

D : External data sources

Answer: B

Question 5

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?

Options :

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

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