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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| ML Neural Networks and Testing | - Neural Networks
|
| Using AI for Testing | - AI-Assisted Testing
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| ML Data | - Data Quality
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Introduction to AI | - AI Fundamentals
|
| Machine Learning | - ML Fundamentals
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 1
"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 specificity number of classes
C. Maximize precision and accuracy
D. Maximize accuracy and recall
Question 2
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 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
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 neural network ML model with a current decision tree ML model for the same data.
Question 3
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A. Al systems are inherently flexible.
B. Flexible Al systems allow for easier modification of the system as a whole.
C. Self-learning systems are expected to deal with new situations without explicitly having to program for it.
D. Al systems require changing of operational environments; therefore, flexibility is required.
Question 4
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
A. Non-determinism
B. Robustness
C. Self-learning
D. High complexity
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: B |
