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ISQI ISTQB Certified Tester AI Testing (v1.0) : CT-AI_v1.0_World
- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Updated: Sep 13, 2026
- Q & A: 40 Questions and Answers
About ISQI ISTQB Certified Tester AI Testing (v1.0) : CT-AI_v1.0_World Exam
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
| Topic 2: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 3: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 4: Testing AI-Based Systems | - Data quality and dataset validation - Testing ML models - Bias, fairness, and explainability testing |
| 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
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. General Al
- B. Technological singularity
- C. Narrow Al
- D. Super Al
Correct Answer: A 🗳️
Explanation: Only visible for Free4Torrent members. You can sign-up / login (it's free).
Question #2
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 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.
- 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 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
Correct Answer: C 🗳️
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Question #3
In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
- A. This statement is correct. In general, what is considered Al today may change over time.
- B. This statement is correct. In general, today the term Al is utilized incorrectly.
- C. This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
- D. This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
Correct Answer: A 🗳️
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Question #4
Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
- A. Data for the use case is being generated at a fast pace.
- B. Nature of data constantly changes with lime.
- C. Compliance needs require proper care to be taken of input personal data.
- D. Test data being sourced from public sources.
Correct Answer: A 🗳️
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