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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Introduction to AI | - AI Fundamentals
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Machine Learning | - ML Fundamentals
|
| ML Data | - Data Quality
|
| ML Neural Networks and Testing | - Neural Networks
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Using AI for Testing | - AI-Assisted Testing
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. "AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
A) The difficulty of defining criteria for improvement before the model can be accepted.
B) The fast pace of change did not allow sufficient time for testing.
C) There was an algorithmic bias in the Al system.
D) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
2. 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) Test the model during model evaluation for data bias.
B) Testing the distribution shift in the training data for inappropriate bias.
C) Check the input test data for potential sample bias.
D) Testing the data pipeline for any sources for algorithmic bias.
3. 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) Analyzing source code for generating test cases
B) Natural language processing on textual requirements
C) Machine learning on logs of execution
D) GUI analysis by computer vision
4. Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A) Clustering is classification of a continuous quantity.
B) Clustering is supervised learning.
C) Clustering requires you to know the classes.
D) Clustering is done without prior knowledge of output classes.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D |


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