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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Testing AI-Based Systems | - Testing ML models - Data quality and dataset validation - Bias, fairness, and explainability testing |
| AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 1
Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION
A. The number of classes
B. The data pipeline
C. Biased data
D. The quality of the labeling
Question 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. 1,0.9, 0.8
B. 0.84.1,0.9
C. 1,0.87,0.84
D. 0.87.0.9. 0.84
Question 3
Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION
A. Identifying suitable tests by looking at the complexity of the test cases.
B. Automating test scripts using Al-based test automation tools.
C. Using of a random subset of tests.
D. Using an Al-based tool to optimize the regression test suite by analyzing past test results
Question 4
A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION
A. Only III
B. I and III
C. I and II
D. Only II
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: C |
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