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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| ML Neural Networks and Testing | - Neural Networks
|
| Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Introduction to AI | - AI Fundamentals
|
| Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| ML Data | - Data Quality
|
| Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Using AI for Testing | - AI-Assisted Testing
|
| ML Functional Performance Metrics | - Performance Evaluation
|
| Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Machine Learning | - ML Fundamentals
|
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION
- A. This is an example of sample bias.
- B. This is an example of hyperparameter bias.
- C. This is an example of expert system bias.
- D. This is an example of algorithmic bias.
Correct Answer: A 🗳️
Explanation: Only visible for DumpsValid members. You can sign-up / login (it's free).
Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
SELECT ONE OPTION
- A. Data testing
- B. Tuning the model
- C. Evaluating the model
- D. Deploying the model
Correct Answer: B 🗳️
Explanation: Only visible for DumpsValid members. You can sign-up / login (it's free).
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. Only III
- C. I and III
- D. Only II
Correct Answer: A 🗳️
Explanation: Only visible for DumpsValid members. You can sign-up / login (it's free).
"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
- A. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
- B. There was an algorithmic bias in the Al system.
- C. The difficulty of defining criteria for improvement before the model can be accepted.
- D. The fast pace of change did not allow sufficient time for testing.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsValid members. You can sign-up / login (it's free).
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