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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 2: ML Data | - Data Quality
|
| Topic 3: Using AI for Testing | - AI-Assisted Testing
|
| Topic 4: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 5: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 6: ML Neural Networks and Testing | - Neural Networks
|
| Topic 7: Machine Learning | - ML Fundamentals
|
| Topic 8: Introduction to AI | - AI Fundamentals
|
| Topic 9: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 10: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 11: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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) I and III
B) Only II
C) Only III
D) I and II
2. Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION
A) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
B) Black box attacks based on adversarial examples create an exact duplicate model of the original.
C) These examples are model specific and are not likely to cause another model trained on same task to fail.
D) These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
3. "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 precision and accuracy
C) Maximize accuracy and recall
D) Maximize recall and precision
4. 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) Using an Al-based tool to optimize the regression test suite by analyzing past test results
B) Identifying suitable tests by looking at the complexity of the test cases.
C) Automating test scripts using Al-based test automation tools.
D) Using of a random subset of tests.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A |
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