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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Topic 2: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 3: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Topic 4: Introduction to AI | 10% | - AI definitions and types
|
| Topic 5: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 6: Neural Networks and Testing | 4% | - Structure of neural networks - Coverage measures for deep learning |
| Topic 7: AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Topic 8: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 9: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| Topic 10: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 11: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION
A) Pre-labeled dataset
B) Internal
C) Outsourced
D) Al-Assisted
2. Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
A) Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
B) Using a vision-based detection of the GUI layout changes before and after test object changes.
C) Using a pixel comparison of the GUI before and after the change to check the differences.
D) Using a computer vision to compare the GUI before and after the test object changes.
3. "Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION
A) Maximize recall and precision
B) Maximize accuracy and recall
C) Maximize precision and accuracy
D) Maximize specificity number of classes
4. 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. Current Al is true Al and there is no reason to believe that this fact will change over time.
B) This statement is correct. In general, today the term Al is utilized incorrectly.
C) This statement is correct. In general, what is considered Al today may change over time.
D) This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C |
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