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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Topic 2: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 3: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 4: Testing AI-Based Systems | - Bias, fairness, and explainability testing - Data quality and dataset validation - Testing ML models |
| 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:
Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION
- A. The number of classes
- B. The data pipeline
- C. Biased data
- D. The quality of the labeling
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
- A. Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
- B. Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
- C. Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
- D. Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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 to give rest to the system.
- B. Test for human handover requiring mandatory relinquishing control.
- C. Test for human handover after a given time interval.
- D. Test for human handover when it should actually not be relinquishing control.
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
- A. Neuron coverage
- B. Threshold coverage
- C. Value coverage
- D. Sign change coverage
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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