ISTQB CT-AI VCE Dumps & Testking IT echter Test von CT-AI

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ISTQB CT-AI Prüfungsplan:

Thema	Einzelheiten
Thema 1	Methods and Techniques for the Testing of AI-Based Systems: In this section, the focus is on explaining how the testing of ML systems can help prevent adversarial attacks and data poisoning.
Thema 2	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.
Thema 3	Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.
Thema 4	Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based
Thema 5	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.
Thema 6	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.
Thema 7	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.
Thema 8	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.

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ISTQB Certified Tester AI Testing Exam CT-AI Prüfungsfragen mit Lösungen (Q151-Q156):

151. Frage
Which ONE of the following statements BEST describes a testing challenge that specifically applied to a self-learning system?

A. When systems change themselves the results of previously passing tests may change
B. It is necessary to test whether the system will relinquish control to a human at the right time
C. External data sources might be required to ensure that the system is unbiased
D. In can be difficult to explain the link between test inputs and outputs

Antwort: A

Begründung:
A key challenge in testing self-learning systems is that, as the system learns and adapts over time, the results of previously passing tests may change. This is because the system's behavior evolves as it learns from new data, potentially altering how it responds to test inputs. This dynamic nature of self-learning systems makes it challenging to maintain consistent and reliable test results.

152. Frage
Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION

A. Internal
B. Pre-labeled dataset
C. Outsourced
D. Al-Assisted

Antwort: B

Begründung:
* Labelling Approaches: Among the options provided, pre-labeled datasets require the least time and effort because the data has already been labeled, eliminating the need for further manual or automated labeling efforts.
* Reference: ISTQB_CT-AI_Syllabus_v1.0, Section 4.5 Data Labelling for Supervised Learning, which discusses various approaches to data labeling, including pre-labeled datasets, and their associated time and effort requirements.

153. Frage
Which of the following is an example of an input change where it would be expected that the AI system should be able to adapt?

A. It has been trained to recognize cats and is given an image of a dog
B. It has been trained to analyze customer buying trend data and is given information on supplier cost data
C. It has been trained to recognize human faces at a particular resolution and it is given a human face image captured with a higher resolution
D. It has been trained to analyze mathematical models and is given a set of landscape pictures to classify

Antwort: C

Begründung:
The syllabus explains that input changes that arein the same domainas what was used for training are expected to be handled with adaptability:
"Adaptability refers to the ability of a system to adjust its behavior in response to changes in its environment or inputs. This includes changes to the inputs which are still within the expected operational range of the system, such as resolution changes in images or sensor data." (Reference: ISTQB CT-AI Syllabus v1.0, Section 7.6 and 8.2)

154. Frage
Which assignment of AI techniques to testing support is BEST?

A. Classification for the optimization of regression test cases
B. Probabilistic methods for the prediction of system failures
C. Fuzzy logic for the generation of test cases
D. Computational optimization techniques for defect prediction

Antwort: B

Begründung:
The ISTQB CT-AI syllabus (Section5.2 - AI for Testing) explains that various AI approaches can support testing activities. Probabilistic methods--one of the three major AI technique groups--are used topredict system failures, especially when dealing with uncertainty, likelihood estimation, and reliability analysis. This aligns precisely with Option B.

155. Frage
Which statement about AI-based test case generation is correct?

A. A different test oracle is usually required for each AI-generated functional test case.
B. Expected results may not be available for AI-generated functional test cases.
C. AI-generated functional test cases typically result in poor requirements coverage.
D. An AI-based system under test must not be used as a functional test oracle.

Antwort: B

Begründung:
The ISTQB CT-AI syllabus indicates inSection 5.2 - AI for Testingthat AI-generated test cases may not come withpredefined expected results. This is because test-case generation methods-- such as evolutionary algorithms, reinforcement learning, or clustering-based sampling-- produceinputs, but the tester must still determine the correct outputs. Therefore, Option C is correct: expected results may not be available, especially when AI produces novel or previously unseen input combinations.

156. Frage
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