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Last Updated: Sep 13, 2026
No. of Questions: 40 Questions & Answers with Testing Engine
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| Introduction to AI | 10% | - AI definitions and types
|
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Using AI for Testing Activities | 10% | - Test case generation, defect prediction - Regression optimization, test analysis |
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. GUI analysis by computer vision
- B. Machine learning on logs of execution
- C. Natural language processing on textual requirements
- D. Analyzing source code for generating test cases
Correct Answer: C 🗳️
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Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
- A. Hardware supporting high precision floating point operations.
- B. Hardware supporting fast matrix multiplication.
- C. High powered CPUs.
- D. 64-bit CPUs.
Correct Answer: B 🗳️
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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. Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
- B. Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
- C. 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.
- 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: C 🗳️
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Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION
- A. Testing the data pipeline for any sources for algorithmic bias.
- B. Test the model during model evaluation for data bias.
- C. Check the input test data for potential sample bias.
- D. Testing the distribution shift in the training data for inappropriate bias.
Correct Answer: B 🗳️
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