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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. In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.

A) i, ii, iii (Duplicate entry in original source)
B) i, ii, iii
C) ii, iii, iv
D) i, iii, v

2. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

A) Using GenAI without regulatory compliance can lead to legal exposure
B) Some GenAI tools may store/process data without explicit consent
C) GenAI outputs can accidentally reveal sensitive information present in inputs
D) Strict GDPR compliance eliminates all privacy risk

3. 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) Automated compliance validation during AI tool deployment
C) Difficulty in aligning project milestones with business outcomes
D) Failure to update system documentation within the test process

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

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

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) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
C) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
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: