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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. What is a primary compliance concern related to Shadow AI in organizational test environments?

A) Violation of established data handling and regulatory compliance standards
B) Difficulty in aligning project milestones with business outcomes
C) Failure to update system documentation within the test process
D) Automated compliance validation during AI tool deployment

2. What BEST protects sensitive test data at rest and in transit?

A) Use public file shares with read-only links
B) Rely on obfuscation instead of encryption
C) Enforce role-based access controls
D) Disable TLS and rely on VPN only

3. Which of the following is NOT a valid form of LLM-driven test data generation?

A) Setting boundary values
B) Generating synthetic datasets
C) Creating combinatorial data (e.g., pairwise)
D) Creating production database backups

4. 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. | 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.
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.

5. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The type of cloud platform affects processing speed but not total energy draw
B) The number of tokens processed directly determines the carbon intensity of each query
C) The duration of user sessions primarily affects latency but not power efficiency
D) The location of the data center determines model bias and accuracy levels

Solutions: