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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 2: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Topic 3: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 4: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 5: Testing AI-Based Systems | - Bias, fairness, and explainability testing - Testing ML models - Data quality and dataset validation |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION
A) Test for human handover requiring mandatory relinquishing control.
B) Test for human handover to give rest to the system.
C) Test for human handover when it should actually not be relinquishing control.
D) Test for human handover after a given time interval.
2. 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) 0.84.1,0.9
B) 1,0.9, 0.8
C) 1,0.87,0.84
D) 0.87.0.9. 0.84
3. A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned task?
SELECT ONE OPTION
A) Clustering
B) Classification
C) Association
D) Regression
4. Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A) Clustering is done without prior knowledge of output classes.
B) Clustering requires you to know the classes.
C) Clustering is classification of a continuous quantity.
D) Clustering is supervised learning.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A |






