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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 2: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 3: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 4: Introduction to AI | - AI Fundamentals
|
| Topic 5: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 6: Machine Learning | - ML Fundamentals
|
| Topic 7: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 8: ML Neural Networks and Testing | - Neural Networks
|
| Topic 9: ML Data | - Data Quality
|
| Topic 10: Using AI for Testing | - AI-Assisted Testing
|
| Topic 11: Testing AI-Specific Quality Characteristics | - Quality Validation
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question #1
Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.
For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION
A. 1,0.87,0.84
B. 1,0.9, 0.8
C. 0.87.0.9. 0.84
D. 0.84.1,0.9
Question #2
An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION
A. This is an example of sample bias.
B. This is an example of hyperparameter bias.
C. This is an example of expert system bias.
D. This is an example of algorithmic bias.
Question #3
Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
A. Training data - validation data
B. Training data - validation data - test data
C. Validation data - test data
D. Training data * test data
Question #4
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 vision-based detection of the GUI layout changes before and after test object changes.
B. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
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.
Solutions:
| Question #1 Answer: C | Question #2 Answer: A | Question #3 Answer: B | Question #4 Answer: C |
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