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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Based Systems | - Data quality and dataset validation - Testing ML models - Bias, fairness, and explainability testing |
| Topic 2: Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
| Topic 3: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 4: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 5: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION
- A. Machine learning on logs of execution
- B. Analyzing source code for generating test cases
- C. Natural language processing on textual requirements
- D. GUI analysis by computer vision
Explanation: Only visible for RealValidExam members. You can sign-up / login (it's free).
Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
- A. Training data - validation data
- B. Training data - validation data - test data
- C. Training data * test data
- D. Validation data - test data
Explanation: Only visible for RealValidExam members. You can sign-up / login (it's free).
Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION
- A. Testing the accuracy of the classification model.
- B. Testing the speed of the prediction by the model.
- C. Testing the speed of the training of the model.
- D. Testing the API of the service powered by the ML model.
Explanation: Only visible for RealValidExam members. You can sign-up / login (it's free).
Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION
- A. Using an Al-based tool to optimize the regression test suite by analyzing past test results
- B. Using of a random subset of tests.
- C. Automating test scripts using Al-based test automation tools.
- D. Identifying suitable tests by looking at the complexity of the test cases.
Explanation: Only visible for RealValidExam members. You can sign-up / login (it's free).
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