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ISQI CT-GenAI Exam Syllabus Topics:

SectionWeightObjectives
Fundamentals of Generative AI20%- AI Terminology
  • 1. Transformer architecture
  • 2. Large Language Models (LLMs)
  • 3. Generative AI (GenAI)
  • 4. Machine Learning (ML)
  • 5. Artificial Intelligence (AI)
  • 6. Tokens and prompts
  • 7. Deep Learning
- Generative AI Concepts
  • 1. Model types (Base, Instruction-tuned, RAG)
  • 2. AI model behavior
  • 3. Hallucinations
  • 4. Emergent capabilities and limitations
  • 5. Training data and context windows
  • 6. Alignment and guardrails
- AI Development Lifecycle
  • 1. Model training and fine-tuning
  • 2. Deployment and monitoring
  • 3. Data collection, preparation, and curation
  • 4. Evaluation
Testing Activities for Generative AI30%- Traceability and Documentation
  • 1. Documentation requirements for AI testing
  • 2. Test coverage of AI model components
- Model and Output Evaluation
  • 1. Metamorphic testing
  • 2. Output correctness and quality assessment
  • 3. Automated evaluation methods
  • 4. Human evaluation methods
  • 5. Checkpoint testing
- Requirements-Based Testing
  • 1. Functional requirements for AI-based systems
  • 2. AI-related quality requirements
  • 3. Non-functional requirements for AI-based systems
- Prompt-Based Testing
  • 1. Prompt engineering basics
  • 2. Test case design using prompts
  • 3. Test data creation with GenAI
Tools for Testing Generative AI20%- Using Tools for Common Testing Activities
  • 1. Security testing tools
  • 2. Simulation and monitoring tools
  • 3. Prompt testing tools
  • 4. Model evaluation tools
- Testing Tools Overview
  • 1. Selecting appropriate tools for specific testing needs
  • 2. Categories of GenAI testing tools
Risks and Testing Challenges for Generative AI30%- Testing Challenges for Generative AI
  • 1. Subjectivity of quality assessment
  • 2. Coverage challenges
  • 3. Ethical testing concerns
  • 4. Regulatory and compliance considerations
  • 5. Complexity of the AI component
  • 6. Non-deterministic output behavior
  • 7. Test oracle problem
- Quality Risks Specific to Generative AI
  • 1. Offensive, harmful, or biased content
  • 2. Dependency on external components
  • 3. Inappropriate output for the context
  • 4. Input sensitivity (prompt brittleness)
  • 5. Incorrect or fabricated outputs (hallucinations)
  • 6. Inconsistent responses across runs

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

1. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

A) i -> iv -> iii -> ii
B) iv -> i -> iii -> ii
C) iii -> iv -> i -> ii
D) iv -> iii -> i -> ii


2. The model flags anomalies in logs and also proposes partitions for input validation tests. Which metrics BEST evaluate these two outcomes together?

A) Diversity for anomaly identification and precision for partitions
B) Precision for anomaly identification and recall for coverage of valid/invalid partitions
C) Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
D) Time efficiency for anomaly detection and accuracy for coverage of valid/invalid partitions


3. An attacker sends extremely long prompts to overflow context so the model leaks snippets from its training data. Which attack vector is this?

A) Request manipulation
B) Malicious code generation
C) Data exfiltration
D) Data poisoning


4. What is a key data-related aspect when defining a GenAI strategy for testing?

A) Neglect legacy data sources as they provide limited immediate relevance to testing tasks
B) Aggregate data from all available organizational repositories without filtration
C) Use only auto-generated synthetic data to avoid dependency on enterprise repositories
D) Prioritize accurate and relevant input data secured through defined quality procedures


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 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.
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 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.
D) 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.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: B
Question # 3
Answer: C
Question # 4
Answer: D
Question # 5
Answer: C

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