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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Testing AI-Based Systems | - Bias, fairness, and explainability testing - Data quality and dataset validation - Testing ML models |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) Hardware supporting fast matrix multiplication.
B) 64-bit CPUs.
C) Hardware supporting high precision floating point operations.
D) High powered CPUs.
2. 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) Search of similar code based on natural language processing.
B) Clustering of similar code modules to predict based on similarity.
C) Identifying the relationship between developers and the modules developed by them.
D) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
3. Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
A) Data for the use case is being generated at a fast pace.
B) Compliance needs require proper care to be taken of input personal data.
C) Test data being sourced from public sources.
D) Nature of data constantly changes with lime.
4. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
A) Neuron coverage
B) Value coverage
C) Sign change coverage
D) Threshold coverage
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C |





