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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 考生最常問的問題

最新的 AI Testing CT-GenAI 免費考試真題：

問題 #1

You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?

A. Include references to version control systems like Git in the constraints.
B. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
C. Add a step to review the change log for syntax errors before analysis.
D. Specify that the role is a test architect specializing in CI/CD pipelines.

問題 #2

What defines a prompt pattern in the context of structured GenAI capability building?

A. Treating prompts as access credentials or compliance records rather than functional templates
B. Maintaining static documentation repositories without real-time prompt standardization processes
C. Using ad hoc prompts without reference to previously proven structures or examples
D. Applying a reusable and structured template that guides GenAI models toward consistent outputs

問題 #3

You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?

A. Include references to version control systems like Git in the constraints.
B. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
C. Add a step to review the change log for syntax errors before analysis.
D. Specify that the role is a test architect specializing in CI/CD pipelines.

問題 #4

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

A. It can be applied to smaller SLMs to improve task performance with lower compute
B. It replaces the model's general knowledge entirely and prevents overfitting
C. It enhances relevance to organizational terminology and formats
D. It adapts a pre-trained model to a domain using task-specific data

問題 #5

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 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.
B. 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.
C. 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.
D. 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.

問題與答案：