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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 2: ML Data | - Data Quality
|
| Topic 3: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 4: Introduction to AI | - AI Fundamentals
|
| Topic 5: Using AI for Testing | - AI-Assisted Testing
|
| Topic 6: Machine Learning | - ML Fundamentals
|
| Topic 7: ML Neural Networks and Testing | - Neural Networks
|
| Topic 8: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 9: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 10: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 11: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 II
- B. I and III
- C. Only II
- D. Only III
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ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION
- A. Technological singularity
- B. General Al
- C. Narrow Al
- D. Super Al
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Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
- A. Clustering is classification of a continuous quantity.
- B. Clustering is supervised learning.
- C. Clustering is done without prior knowledge of output classes.
- D. Clustering requires you to know the classes.
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"BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION
- A. A lack of focus on choosing the right functional-performance metrics.
- B. A lack of similarity between the training and testing data.
- C. The input data has not been tested for quality prior to use for testing.
- D. A lack of focus on non-functional requirements testing.
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