Exam Code: CT-GenAI
Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Certification Provider: ISQI
Corresponding Certification: AI Testing
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ISQI CT-GenAI Exam Syllabus Topics:

SectionObjectives
Application of GenAI in Software Testing- Practical use in testing workflows
  • 1. Regression suite optimization
    • 2. Defect report analysis and summarization
      • 3. Test case generation using LLMs
        • 4. Test data generation and augmentation
          Risk, Quality, and Limitations of GenAI- Risks in GenAI usage
          • 1. Bias and fairness issues
            • 2. Hallucinations and reasoning errors
              • 3. Data privacy and security concerns
                • 4. Environmental and energy considerations
                  Prompt Engineering for Testing- Prompt design techniques
                  • 1. Prompt chaining and meta prompting
                    • 2. Structuring prompts for test case generation
                      • 3. Zero-shot, one-shot, few-shot prompting
                        Organizational Adoption and Governance- Enterprise GenAI adoption
                        • 1. Policy, ethics, and compliance considerations
                          • 2. Integration into CI/CD pipelines
                            • 3. LLMOps and governance models
                              Foundations of Generative AI and LLMs- Introduction to Generative AI in Software Testing
                              • 1. Difference between chatbots and LLM-based test tools
                                • 2. LLM basics, tokenization, context window, multimodal models

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

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

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


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

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


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


                                  4. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?

                                  A) Zero-shot prompting
                                  B) Meta prompting
                                  C) Few-shot prompting
                                  D) Prompt chaining


                                  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.


                                  Solutions:

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

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