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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| ML Data | - Data Quality
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| ML Neural Networks and Testing | - Neural Networks
|
| Using AI for Testing | - AI-Assisted Testing
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Introduction to AI | - AI Fundamentals
|
| Machine Learning | - ML Fundamentals
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
SELECT ONE OPTION
A) Identifying the relationship between developers and the modules developed by them.
B) Clustering of similar code modules to predict based on similarity.
C) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
D) Search of similar code based on natural language processing.
2. The activation value output for a neuron in a neural network is obtained by applying computation to the neuron.
Which ONE of the following options BEST describes the inputs used to compute the activation value?
SELECT ONE OPTION
A) Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
B) Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
C) Individual bias at the neuron level, and activation values of neurons in the previous layer.
D) Individual bias at the neuron level, and weights assigned to the connections between theneurons.
3. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
A) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
B) A comparison of the performance of an ML system on two different input datasets.
C) A comparison of the performance of two different ML implementations on the same input data.
D) A comparison of two different websites for the same company to observe from a user acceptance perspective.
4. 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) 0.87.0.9. 0.84
B) 0.84.1,0.9
C) 1,0.9, 0.8
D) 1,0.87,0.84
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A |
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Ada 
Adrian 
Laurel 
Jay 
Frederic 
Paula 
Ivan 
Arvin 
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