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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. Consider applying the meta-prompting technique to generate automated test scripts for API testing. You need to test a REST API endpoint that processes user registration with validation rules. Which one of the following prompts is BEST suited to this task?

A) Role: Act as a software engineer. | Context: You are testing registration logic. | Instruction: Create Python scripts to verify endpoint behavior. | Input Data: POST /api/register with test users. | Constraints: Add checks for status codes. | Output Format: Deliver functional scripts.
B) Role: Act as a test automation engineer with API testing experience. | Context: You are verifying user registration that enforces field and format validation. | Instruction: Generate pytest scripts using requests for both positive (valid) and negative (invalid email, weak password, missing fields) cases. | Input Data: POST /api/register with validation rules for email and password length. | Constraints:
Include fixtures, clear assertions, and naming consistent with pytest. | Output Format: Return complete Python test files.
C) Role: Act as a test automation engineer. | Context: You are creating tests for a registration endpoint. | Instruction: Generate Python test scripts using pytest covering both valid and invalid inputs. | Input Data: POST /api/register with email and password. | Constraints: Follow pytest structure. | Output Format: Provide scripts.
D) Role: Act as an automation tester. | Context: You are validating an API endpoint. | Instruction: Generate Python test scripts that send POST requests and validate responses. | Input Data: User credentials. | Constraints: Include basic scenarios with asserts. | Output Format: Provide organized scripts.

2. What are the three key phases in adopting GenAI in a test organization?

A) Planning; execution; sign-off
B) Prototype; pilot; decommission
C) Discovery; initiation and usage definition; utilization and iteration
D) Training; certification; outsourcing

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

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

4. Which statement BEST describes vision-language models (VLMs)?

A) VLMs process audio and video but not images.
B) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
C) VLMs are a superset of multimodal LLMs.
D) VLMs are a subset of multimodal LLMs integrating visual and textual information.

5. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
B) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
C) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
D) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.

Solutions: