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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

SectionObjectives
Introduction to AI in Software Testing- AI systems overview
- Role of AI in testing
AI System Quality Risks- Ethical and legal considerations
- Model drift and performance degradation
Testing AI-Based Systems- Bias, fairness, and explainability testing
- Testing ML models
- Data quality and dataset validation
Machine Learning Fundamentals for Testers- Supervised and unsupervised learning concepts
- Model training and evaluation basics
AI in Test Automation- AI-based defect prediction and analytics
- AI-supported test generation

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 the current neural network ML model on the current data set with a slightly modified data set.
  • B. 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
  • C. Comparison of the results of a neural network ML model with a current decision tree ML model for the 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.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION

  • A. Hardware supporting high precision floating point operations.
  • B. Hardware supporting fast matrix multiplication.
  • C. 64-bit CPUs.
  • D. High powered CPUs.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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"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. There was an algorithmic bias in the Al system.
  • B. The fast pace of change did not allow sufficient time for testing.
  • C. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
  • D. The difficulty of defining criteria for improvement before the model can be accepted.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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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. Narrow Al
  • B. Super Al
  • C. General Al
  • D. Technological singularity
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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