[2026年08月]更新のISTQB CT-AI問題集厳選された問題集でパスして、最短時間を目指そう [Q41-Q64]

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[2026年08月]更新のISTQB CT-AI問題集厳選された問題集でパスして、最短時間を目指そう

ISTQB CT-AI試験問題集で[2026年最新] 練習高合格率な試験問題集問題

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	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 2	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 3	ML Functional Performance Metrics: In this section, the topics covered include how to calculate the ML functional performance metrics from a given set of confusion matrices.
トピック 4	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 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.
トピック 6	Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.
トピック 7	Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based
トピック 8	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.

新問題 41
“BioSearch” is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION

A lack of similarity between the training and testing data.

The input data has not been tested for quality prior to use for testing.

A lack of focus on choosing the right functional-performance metrics.

A lack of focus on non-functional requirements testing.

新問題 42
The activation value output for a neuron in a neural network is obtained by applying computation to the neuron.
Which ONE of the following options BEST describes the inputs used to compute the activation value?

Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.

Individual bias at the neuron level, and activation values of neurons in the previous layer.

Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.

Individual bias at the neuron level, and weights assigned to the connections between the neurons.

新問題 43
Which statement about AI-based test case generation is correct?
Choose ONE option (1 out of 4)

AI-generated functional test cases typically result in poor requirements coverage.

A different test oracle is usually required for each AI-generated functional test case.

Expected results may not be available for AI-generated functional test cases.

An AI-based system under test must not be used as a functional test oracle.

新問題 44
A startup company has implemented a new facial recognition system for a banking application for mobile devices. The application is intended to learn at run-time on the device to determine if the user should be granted access. It also sends feedback over the Internet to the application developers. The application deployment resulted in continuous restarts of the mobile devices.
Which of the following is the most likely cause of the failure?

The feedback requires a physical connection and cannot be sent over the Internet.

Mobile operating systems cannot process machine learning algorithms.

The size of the application is consuming too much of the phone’s storage capacity.

The training, processing, and diagnostic generation are too computationally intensive for the mobile device hardware to handle.

新問題 45
Which ONE of the following options for a test basis would give the LEAST coverage when using AI-based test generation?

A test model describing the application functionality

A list of possible web pages that comprise the application

A pseudo-oracle

An XML schema

新問題 46
An Al based website will recommend holiday rental accommodation for a user based on their previous bookings, and inputs about their requirements. Metamorphic testing is being used by a test engineer, who has built up a history of previous bookings. The first test case they use (T1) is as follows:

The outputs from the test ate the following accommodations:
* Villa Fianca
* Villa Palma
* Apartments Mirasol
* Villa Paris
* Apartments Miramar
Which ONE of the below options are the MOST likely outputs from the test:

T2: Villa Franca; T3: Villa Franca. Villa Palma

T2: Villa Franca; T3; Villa Palma

T2: Villa Franca, Villa Palma. Apartments Mirasol; T3: Villa Franca, Villa Paris. Apartments Miramar

T2: Villa Franca, Villa Palma. Apartments Mirasol; T3: Villa Paris. Apartments Miramar

新問題 47
Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?

Different Road Types

Different weather conditions

ML model metrics to evaluate the functional performance

Different features like ADAS, Lane Change Assistance etc.

新問題 48
A ML engineer is trying to determine the correctness of the new open-source implementation *X”, of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION

Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.

Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.

Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.

Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.

新問題 49
A transportation company operates three types of delivery vehicles in its fleet. The vehicles operate at different speeds (slow, medium, and fast). The transportation company is attempting to optimize scheduling and has created an AI-based program to plan routes for its vehicles using records from the medium-speed vehicle traveling to selected destinations. The test team uses this data in metamorphic testing to test the accuracy of the estimated travel times created by the AI route planner with the actual routes and times.
Which of the following describes the next phase of metamorphic testing?

The team tests the time required for the fast and slow vehicles to travel the same route as the medium vehicle. Then, by calculating the speed difference, they then predict how much faster or slower the vehicles will travel. That information is then used to verify that the arrival time of the vehicles meets the expected result.

The team decomposes each route into the relevant components that affect the travel time, such as traffic density and vehicle power. The team then uses statistical analysis to characterize the influence of each component to calculate the fast and slow vehicle route times.

The team uses an AI system to select the most dissimilar routes. With this information, any of the AI routes can be metaphorically transformed into a fast or slow route.

The team uses the same AI route planner to create routes that are longer and shorter but follow the same track. Finally, by driving the fast vehicles on the long routes and slow vehicles on the short routes and vice versa, the AI system will have enough information to infer travel times for all vehicles on all routes.

新問題 50
Which of the following characteristics of AI-based systems make it more difficult to ensure they are safe?

Simplicity

Sustainability

Non-determinism

Robustness

新問題 51
A neural network has been designed and created to assist day-traders improve efficiency when buying and selling commodities in a rapidly changing market. Suppose the test team executes a test on the neural network where each neuron is examined. For this network, the shortest path indicates a “buy” and it will only occur when the one-day predicted value of the commodity is greater than the spot price by 0.75%. The neurons are stimulated by entering commodity prices and testers verify that they activate only when the future value exceeds the spot price by at least 0.75%.
Which of the following statements BEST explains the type of coverage being tested on the neural network?

Threshold coverage

Neuron coverage

Sign-change coverage

Value-change coverage

新問題 52
Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?

Feature selection

Data sampling

Data labeling

Data augmentation

新問題 53
“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 be behaving 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

The difficulty of defining criteria for improvement before the model can be accepted.

The fast pace of change did not allow sufficient time for testing.

The unknown nature and insufficient specification of the operating environment might have caused the poor performance.

There was an algorithmic bias in the Al system.

新問題 54
Which of the following describes the AI effect?
Choose ONE option (1 out of 4)

The changing perception of what constitutes AI

The ability of AI to learn from data itself

The fact that mankind can build intelligent machines

The ability of AI to defeat a human, e.g., in chess

新問題 55
Which statement about testing to prevent data poisoning and adversarial attacks is correct?
Choose ONE option (1 out of 4)

Regression testing can be used to verify data sourcing policies to ensure the source of training data.

The adversarial examples identified during adversarial testing must not be added to the training data so that they do not poison the model.

Adversarial testing consists of using adversarial attacks to identify vulnerabilities so that they can be eliminated.

Using AIB testing to identify data poisoning can better identify outliers than exploratory data analysis.

新問題 56
Which of the following is one of the reasons for data mislabelling?

Lack of domain knowledge

Expert knowledge

Interoperability error

Small datasets

新問題 57
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

Identifying suitable tests by looking at the complexity of the test cases.

Using of a random subset of tests.

Automating test scripts using Al-based test automation tools.

Using an Al-based tool to optimize the regression test suite by analyzing past test results

新問題 58
A ML engineer is trying to determine the correctness of the new open-source implementation *X”, of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION

Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.

Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.

Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.

新問題 59
Which supervised-learning classification/regression statement is correct?

Recognizing a dog from many different images is a regression problem

Deciding whether an object is a bicycle or a motorcycle is a classification problem

Predicting that diesel prices will increase by ~10% is a classification problem

In classification, objects are always assigned to exactly two classes

新問題 60
Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?

Security issues

Accuracy issues

Privacy issues

Bias issues

新問題 61
Which of the below TWO examples of AI system behavior are reward hacking:
I. An AI medical device intended to keep a patient stable may give the patient a treatment that means they recover less quickly.
II. An AI system intended to maximize production of a commodity by weight allows quality and size of product to reduce.
III. An AI system intended to ensure the output of a factory process is always sorted correctly, destroys the outputs.
IV. An AI system intended to remove security vulnerabilities from software code, removes all functionality that has security vulnerabilities.

I, II

I, III

III, IV

II, IV

新問題 62
Which of the following technologies for implementing AI is considered to be a reasoning technique?
Choose ONE option (1 out of 4)

Deductive classifiers

Linear regression

Random Forest

Genetic algorithms

新問題 63
Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION

Feature selection

Data sampling

Data labeling

Data augmentation

新問題 64
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?

64-bit CPUs.

Hardware supporting fast matrix multiplication.

High powered CPUs.

Hardware supporting high precision floating point operations.