CT-AI最新対策問題 & CT-AI全真問題集

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ISTQB CT-AI 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Quality Characteristics for AI-Based Systems: This section covers topics covered how to explain the importance of flexibility and adaptability as characteristics of AI-based systems and describes the vitality of managing evolution for AI-based systems. It also covers how to recall the characteristics that make it difficult to use AI-based systems in safety-related applications.
トピック 2
  • Testing AI-Specific Quality Characteristics: In this section, the topics covered are about the challenges in testing created by the self-learning of AI-based systems.
トピック 3
  • Testing AI-Based Systems Overview: In this section, focus is given to how system specifications for AI-based systems can create challenges in testing and explain automation bias and how this affects testing.
トピック 4
  • Neural Networks and Testing: This section of the exam covers defining the structure and function of a neural network including a DNN and the different coverage measures for neural networks.
トピック 5
  • Introduction to AI: This exam section covers topics such as the AI effect and how it influences the definition of AI. It covers how to distinguish between narrow AI, general AI, and super AI; moreover, the topics covered include describing how standards apply to AI-based systems.
トピック 6
  • Machine Learning ML: This section includes the classification and regression as part of supervised learning, explaining the factors involved in the selection of ML algorithms, and demonstrating underfitting and overfitting.
トピック 7
  • ML: Data: This section of the exam covers explaining the activities and challenges related to data preparation. It also covers how to test datasets create an ML model and recognize how poor data quality can cause problems with the resultant ML model.

>> CT-AI最新対策問題 <<

ISTQB CT-AI全真問題集、CT-AI模擬試験問題集

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ISTQB Certified Tester AI Testing Exam 認定 CT-AI 試験問題 (Q94-Q99):

質問 # 94
A test engineer is planning testing for a wearable medical device using AI. The medical device will detect possible heart issues in patients and dispatch emergency services automatically. It is not expected that many patients will have heart issues, and this is reflected in the available data.
In this case, it is decided it is more important that emergency services are not sent un- necessarily, than it is to detect actual heart problems.
Which ONE of the following metrics should the test engineer choose to ensure that the emergency services are sent only when needed?

正解：C

解説：
Precision is the most appropriate metric in this case, as it focuses on the proportion of true positive results (correctly identifying heart issues) out of all the positive predictions made by the model. Since it is more important that emergency services are not sent unnecessarily (false positives), optimizing for precision ensures that the model is more cautious about dispatching emergency services, minimizing false alarms.


質問 # 95
Which ONE of the following statements about a system MOST describe an autonomous system?

正解：A

解説：
The correct answer is A because it best matches the CT-AI concept of autonomy: the system can operate independently for a prolonged period, processing loan applications within predefined constraints until a human changes the available aggregate credit. The syllabus defines autonomy as the ability of a system to work independently of human oversight and control for prolonged periods, and emphasizes that testers should identify how long the system is expected to perform satisfactorily without human intervention and when control should be returned to humans.
Option B describes a safety or driver-monitoring function rather than sustained independent operation; the system reacts when the driver is unresponsive but still assumes human supervision. Option C describes evolution or self-learning, because the chatbot improves responses based on prior interactions, but self- learning alone does not make the system autonomous. Option D is explicitly human-in-the-loop: the fraud system only alerts operators and requires human input for the final decision, so it is less autonomous.
References/topics: CT-AI Syllabus Chapter 2, Section 2.2 "Autonomy"; Appendix B "Autonomous system" and "Autonomy."


質問 # 96
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?

正解：D

解説：
Sample bias occurs when the training data is not representative of the overall population that the model will encounter in practice.
In this case, the over-representation of ethnicity A (70%) compared to B, C, and D (30%) creates a sample bias, as the model may become biased towards better performance on ethnicity A.


質問 # 97
Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?

正解：C

解説：
Technology Most Typically Used to Implement AI: Genetic algorithms are a well-known technique used in AI . They are inspired by the process of natural selection and are used to find approximate solutions to optimization and search problems. Unlike search engines, procedural programming, or case control structures, genetic algorithms are specifically designed for evolving solutions and are commonly employed in AI implementations.


質問 # 98
Which of the following characteristics of AI-based systems make it more difficult to ensure they are safe?

正解：A

解説：
AI-based systems oftenexhibit non-deterministic behavior, meaning theydo not always produce the same output for the same input. This makesensuring safety more difficult, as the system's behavior can change based on new data, environmental factors, or updates.
* Why Non-determinism Affects Safety:
* In traditional software, the same input always produces the same output.
* In AI systems, outputsvary probabilisticallydepending on learned patterns and weights.
* This unpredictability makes itharder to verify correctness, reliability, and safety, especially in critical domains likeautonomous vehicles, medical AI, and industrial automation.
* A (Simplicity):AI-based systems are typicallycomplex, not simple, which contributes to safety challenges.
* B (Sustainability):While sustainability is an important AI consideration, it doesnot directly affect safety.
* D (Robustness):Lack of robustnesscan make AI systems unsafe, butnon-determinism is the primary issuethat complicates safety verification.
* ISTQB CT-AI Syllabus (Section 2.8: Safety and AI)
* "The characteristics of AI-based systems that make it more difficult to ensure they are safe include: complexity, non-determinism, probabilistic nature, self-learning, lack of transparency, interpretability and explainability, lack of robustness".
Why Other Options Are Incorrect:Supporting References from ISTQB Certified Tester AI Testing Study Guide:Conclusion:Sincenon-determinism makes AI behavior unpredictable, complicating safety assurance, thecorrect answer is C.


質問 # 99
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CT-AI全真問題集: https://www.topexam.jp/CT-AI_shiken.html

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