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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Introduction to AI | - AI Fundamentals
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Using AI for Testing | - AI-Assisted Testing
|
| Machine Learning | - ML Fundamentals
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| ML Data | - Data Quality
|
| ML Neural Networks and Testing | - Neural Networks
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 specificity number of classes
B) Maximize accuracy and recall
C) Maximize precision and accuracy
D) Maximize recall and precision
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 the current neural network ML model on the current data set with a slightly modified data set.
C) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
D) 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.
3. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
A) A comparison of the performance of an ML system on two different input datasets.
B) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
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. 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) Machine learning on logs of execution
B) Natural language processing on textual requirements
C) Analyzing source code for generating test cases
D) GUI analysis by computer vision
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: B |
