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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 2: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 3: Testing AI-Based Systems | - Data quality and dataset validation - Bias, fairness, and explainability testing - Testing ML models |
| Topic 4: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Topic 5: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
- A. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
- B. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
- C. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
- D. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
Correct Answer: A 🗳️
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Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION
- A. Machine learning on logs of execution
- B. Analyzing source code for generating test cases
- C. Natural language processing on textual requirements
- D. GUI analysis by computer vision
Correct Answer: C 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
- A. Non-determinism
- B. Robustness
- C. Self-learning
- D. High complexity
Correct Answer: B 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
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 expert system bias.
- B. This is an example of hyperparameter bias.
- C. This is an example of sample bias.
- D. This is an example of algorithmic bias.
Correct Answer: C 🗳️
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