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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |
| Introduction to AI | 10% | - AI technologies and frameworks
|
| Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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 an Al-based tool to optimize the regression test suite by analyzing past test results
C) Automating test scripts using Al-based test automation tools.
D) Using of a random subset of tests.
2. In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
A) This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
B) This statement is correct. In general, what is considered Al today may change over time.
C) This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
D) This statement is correct. In general, today the term Al is utilized incorrectly.
3. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
A) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
B) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
C) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
D) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
4. 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.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B |
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