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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Topic 2: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 3: Testing AI-Based Systems | - Testing ML models - Bias, fairness, and explainability testing - Data quality and dataset validation |
| Topic 4: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 5: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
- A. Al systems require changing of operational environments; therefore, flexibility is required.
- B. Al systems are inherently flexible.
- C. Flexible Al systems allow for easier modification of the system as a whole.
- D. Self-learning systems are expected to deal with new situations without explicitly having to program for it.
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Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION
- A. Test for human handover requiring mandatory relinquishing control.
- B. Test for human handover to give rest to the system.
- C. Test for human handover when it should actually not be relinquishing control.
- D. Test for human handover after a given time interval.
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The activation value output for a neuron in a neural network is obtained by applying computation to the neuron.
Which ONE of the following options BEST describes the inputs used to compute the activation value?
SELECT ONE OPTION
- A. Individual bias at the neuron level, and weights assigned to the connections between theneurons.
- B. Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
- C. Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
- D. Individual bias at the neuron level, and activation values of neurons in the previous layer.
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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. Identifying suitable tests by looking at the complexity of the test cases.
- B. Using of a random subset of tests.
- C. Automating test scripts using Al-based test automation tools.
- D. Using an Al-based tool to optimize the regression test suite by analyzing past test results
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