참고: ExamPassdump에서 Google Drive로 공유하는 무료, 최신 CT-AI 시험 문제집이 있습니다: https://drive.google.com/open?id=1LIPvlUj18BOrV912ugt4j4zpcDAPydxv
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| Certification Vendor: | ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester - AI Testing Exam |
| Exam Number: | CT-AI |
| Passing Score: | 65% (29/44 points for v2.0; 31/47 points for v1.0) |
| Related Certifications: | ISTQB Certified Tester Testing with Generative AI (CT-GenAI) ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Format: | Multiple-choice questions, 1-2 points per question |
| Exam Duration: | 60 (75 for non-native language) |
| Real Exam Qty: | 40 |
| Exam Price: | €180 - €250 (varies by region and provider) |
| Available Languages: | Korean, French, English, Chinese, German, Spanish, Portuguese, Japanese |
| Certificate Validity Period: | Valid indefinitely (no expiration) |
| Recommended Training: | CT-AI Syllabus v2.0 ISTQB Accredited Training Providers |
| Exam Registration: | ISTQB Official Registration Pearson VUE iSQI Exam Registration |
| Sample Questions: | ISTQB CT-AI Sample Questions |
| Exam Way: | Online remote proctored / Onsite test center |
| Pre Condition: | Must hold ISTQB Certified Tester Foundation Level (CTFL) certification |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai/ |
ExamPassdump는 고객님께서 첫번째ISTQB CT-AI시험에서 패스할수 있도록 최선을 다하고 있습니다. 만일 어떤 이유로 인해 고객이 첫 번째 시도에서 실패를 한다면, ExamPassdump는 고객에게ISTQB CT-AI덤프비용 전액을 환불 해드립니다.환불보상은 다음의 필수적인 정보들을 전제로 합니다.
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질문 # 155
When verifying that an autonomous AI-based system is acting appropriately, which of the following are MOST important to include?
정답：B
설명：
The syllabus highlights that testing for unnecessary human intervention is a key focus for autonomous AI-based systems:
"For autonomous AI-based systems, testers must ensure that the system does not prompt for unnecessary human intervention, as this contradicts the autonomy concept."
질문 # 156
You are testing an autonomous vehicle which uses AI to determine proper driving actions and responses. You have evaluated the parameters and combinations to be tested and have determinedthat there are too many to test in the time allowed. It has been suggested that you use pairwise testing to limit the parameters. Given the complexity of the software under test, what is likely the outcome from using pairwise testing?
정답：C
설명：
Pairwise testing is a combinatorial testing technique that reduces the number of test cases by focusing on testing interactions between pairs of parameters rather than all possible combinations. It is widely used in AI- based systems, including autonomous vehicles, where the number of possible input parameter combinations can be extremely high.
* Option A:"The number of parameters to test can be reduced to less than a dozen."
* This is incorrect. While pairwise testing significantly reduces the number of test cases, it does not necessarily limit them to a fixed number like a dozen. The final number of tests depends on the number of parameters and their possible values.
* Option B:"All high priority defects will be identified using this method."
* This is incorrect. While pairwise testing is effective in detecting defects caused by interactions between two parameters, it may not uncover defects resulting from more complex interactions involving three or more parameters.
* Option C:"While the number of tests needed can be reduced, there may still be a large enough set of tests that automation will be required to execute all of them."
* This is the correct answer. Even though pairwise testing reduces the number of test cases, AI- based systems such as autonomous vehicles still have a large number of test scenarios. Therefore, automation is often necessary to execute all test cases within the available time.
* Option D:"Pairwise cannot be applied to this problem because there is AI involved, and the evolving values may result in unexpected results that cannot be verified."
* This is incorrect. Pairwise testing can still be applied to AI-based systems, including those that evolve over time. However, additional testing techniques may be required to verify evolving behavior.
* Pairwise Testing for AI Systems:"Pairwise testing is widely used because it effectively reduces the number of test cases while maintaining defect detection capability".
* Automation Requirement:"In practice, even with pairwise testing, extensive test suites may still require automation".
Analysis of the Answer Options:ISTQB CT-AI Syllabus References:
질문 # 157
Which statement about testing levels for AI-based systems is correct?
정답：D
설명：
Section4.3 - Test Levels for AI Systemsclearly defines ML model testing as the level at which testers evaluate whether an ML model fulfills itsfunctional performance criteria, including accuracy, precision, recall, F1, robustness, stability, and fairness. Therefore, Option C is the correct and syllabus-aligned statement.
질문 # 158
Which of the below is NOT a characteristic that makes it difficult to use AI based systems?
정답：B
설명：
The correct answer is B. Lack of standards . In the CT-AI syllabus discussion of safety and AI, the listed characteristics that make it more difficult to ensure AI-based systems are safe include complexity , non- determinism , probabilistic nature , self-learning , lack of transparency, interpretability and explainability , and lack of robustness . Therefore, options A, C, and D are directly aligned with the syllabus list.
"Lack of standards" may be relevant to governance, regulation, or organizational maturity, but it is not one of the syllabus-listed intrinsic characteristics that makes AI-based systems difficult to use in safety-related applications. The syllabus separately discusses standards and regulations in Chapter 1, including ISO/IEC work, GDPR, automotive safety standards, and related regulatory contexts. However, this does not make
"lack of standards" the correct answer for this specific question. The question is targeting the safety-related AI characteristics in Chapter 2, not the broader standards landscape.
References/topics: CT-AI Syllabus Chapter 2, Section 2.8 "Safety and AI."
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질문 # 159
Which statement describes factors related to test data that make testing AI-based systems difficult?
Choose ONE option (1 out of 4)
정답：B
설명：
Section2.2 - Data Preparationand4.1 - Challenges in Testing AI-Based Systemsdescribe difficulties in obtaining and managing large, representative datasets. AI-based systems requirerealistic, diverse, and representativedata reflecting real-world variations. The syllabus emphasizes that assembling such datasets is time-consuming, resource-intensive, and often constrained by availability, privacy, or domain complexity.
Option B directly corresponds to these documented challenges.
Option A is incorrect: using the same implementation risksdefect masking, not preventing it; the syllabus warns against this practice. Option C is incorrect because real-world data naturally evolves, and the syllabus notes thatdriftis normal; expecting stable input data contradicts operational reality. Option D is incorrect:
although data privacy is important, the syllabus does not claim that artificially generated data always requires legal approval, nor that sanitization/encryption is mandatory for synthetic data.
Thus,Option Baccurately reflects syllabus-defined difficulties in producing representative test data.
질문 # 160
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참고: ExamPassdump에서 Google Drive로 공유하는 무료 2026 ISTQB CT-AI 시험 문제집이 있습니다: https://drive.google.com/open?id=1LIPvlUj18BOrV912ugt4j4zpcDAPydxv