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- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Updated: Sep 12, 2026
- Q & A: 40 Questions and Answers
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ISQI CT-AI_v1.0_World dumps - Testing Engine
- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Updated: Sep 12, 2026
- Q & A: 40 Questions and Answers
- Software Price: $59.99
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About ISQI CT-AI_v1.0_World Instant Exam Download
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Based Systems | - Data quality and dataset validation - Testing ML models - Bias, fairness, and explainability testing |
| Topic 2: Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
| Topic 3: Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Topic 4: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 5: AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question #1
"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.
Answer: D
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Question #2
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 algorithmic bias.
- D. This is an example of expert system bias.
Answer: A
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Question #3
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. Automating test scripts using Al-based test automation tools.
- B. Using of a random subset of tests.
- C. Using an Al-based tool to optimize the regression test suite by analyzing past test results
- D. Identifying suitable tests by looking at the complexity of the test cases.
Answer: C
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Question #4
"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 accuracy and recall
- B. Maximize recall and precision
- C. Maximize precision and accuracy
- D. Maximize specificity number of classes
Answer: B
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