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CT-AI ISTQBCertified Tester AI Testing Exam Questions and Answers

Questions 4

A beer company is trying to understand how much recognition its logo has in the market. It plans to do that by monitoring images on various social media platforms using a pre-trained neural network for logo detection. This particular model has been trained by looking for words, as well as matching colors on social media images. The company logo has a big word across the middle with a bold blue and magenta border.

Which associated risk is most likely to occur when using this pre-trained model?

Options:

A.

There is no risk, as the model has already been trained

B.

Insufficient function: the model was not trained to check for colors or words

C.

Improper data preparation

D.

Inherited bias: the model could have inherited unknown defects

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Questions 5

Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.

SELECT ONE OPTION

Options:

A.

Black box attacks based on adversarial examples create an exact duplicate model of the original.

B.

These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.

C.

These attacks can't be prevented by retraining the model with these examples augmented to the training data.

D.

These examples are model specific and are not likely to cause another model trained on same task to fail.

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Questions 6

Which of the following aspects is a challenge when handling test data for an AI-based system?

Options:

A.

Personal data or confidential data

B.

Output data or intermediate data

C.

Video frame speed or aspect ratio

D.

Data frameworks or machine learning frameworks

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Questions 7

Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?

SELECT ONE OPTION

Options:

A.

Natural language processing on textual requirements

B.

Analyzing source code for generating test cases

C.

Machine learning on logs of execution

D.

GUI analysis by computer vision

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Questions 8

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

Options:

A.

Simplicity

B.

Sustainability

C.

Non-determinism

D.

Robustness

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Questions 9

A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?

SELECT ONE OPTION

Options:

A.

Reinforcement learning

B.

Regression

C.

Classification

D.

Clustering

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Questions 10

Before deployment of an AI-based system, a developer is expected to demonstrate in a test environment how decisions are made. Which of the following characteristics does decision making fall under?

Options:

A.

Explainability

B.

Autonomy

C.

Self-learning

D.

Non-determinism

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Questions 11

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?

SELECT ONE OPTION

Options:

A.

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

B.

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

C.

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

D.

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

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Questions 12

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?

SELECT ONE OPTION

Options:

A.

Different Road Types

B.

Different weather conditions

C.

ML model metrics to evaluate the functional performance

D.

Different features like ADAS, Lane Change Assistance etc.

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Questions 13

Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?

SELECT ONE OPTION

Options:

A.

Non-determinism

B.

Robustness

C.

High complexity

D.

Self-learning

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Questions 14

Which of the following is correct regarding the layers of a deep neural network?

Options:

A.

There is only an input and output layer

B.

There is at least one internal hidden layer

C.

There must be a minimum of five total layers to be considered deep

D.

The output layer is not connected with the other layers to maintain integrity

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Questions 15

Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?

SELECT ONE OPTION

Options:

A.

Evaluating the model

B.

Deploying the model

C.

Tuning the model

D.

Data testing

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Questions 16

You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have determined this is because the developers are changing the identifiers when they make code updates. How could AI help make the automation more reliable?

Options:

A.

It could identify the objects multiple ways and then determine the most commonly used and stable identification for each object

B.

It could modify the automation code to ignore unrecognizable objects to avoid failures

C.

It could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation

D.

It could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly

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Questions 17

An e-commerce developer built an application for automatic classification of online products in order to allow customers to select products faster. The goal is to provide more relevant products to the user based on prior purchases.

Which of the following factors is necessary for a supervised machine learning algorithm to be successful?

Options:

A.

Labeling the data correctly

B.

Minimizing the amount of time spent training the algorithm

C.

Selecting the correct data pipeline for the ML training

D.

Grouping similar products together before feeding them into the algorithm

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Questions 18

Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?

SELECT ONE OPTION

Options:

A.

A system that utilizes human beings for all important decisions.

B.

A fully automated manufacturing plant that uses no software.

C.

A system that utilizes a tool like Selenium.

D.

A system that is fully able to respond to its environment.

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Questions 19

Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?

SELECT ONE OPTION

Options:

A.

Testing the accuracy of the classification model.

B.

Testing the API of the service powered by the ML model.

C.

Testing the speed of the training of the model.

D.

Testing the speed of the prediction by the model.

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Questions 20

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?

Options:

A.

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.

B.

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.

C.

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.

D.

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.

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Questions 21

Which of the following is a technique used in machine learning?

Options:

A.

Decision trees

B.

Equivalence partitioning

C.

Boundary value analysis

D.

Decision tables

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Questions 22

A local business has a mail pickup/delivery robot for their office. The robot currently uses a track to move between pickup/drop-off locations. When it arrives at a destination, the robot stops to allow a human to remove or deposit mail. The office has decided to upgrade the robot to include AI capabilities that allow the robot to perform its duties without a track, without running into obstacles, and without human intervention. The test team is creating a list of new and previously established test objectives and acceptance criteria to be used in the testing of the robot upgrade. Which of the following test objectives will test an AI quality characteristic for this system?

Options:

A.

The robot must evolve to optimize its routing

B.

The robot must recharge for no more than six hours a day

C.

The robot must record the time of each delivery which is compiled into a report

D.

The robot must complete 99.99% of its deliveries each day

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Questions 23

Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?

SELECT ONE OPTION

Options:

A.

Testing the distribution shift in the training data for inappropriate bias.

B.

Test the model during model evaluation for data bias.

C.

Testing the data pipeline for any sources for algorithmic bias.

D.

Check the input test data for potential sample bias.

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Questions 24

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?

SELECT ONE OPTION

Options:

A.

This is an example of expert system bias.

B.

This is an example of sample bias.

C.

This is an example of hyperparameter bias.

D.

This is an example of algorithmic bias.

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Exam Code: CT-AI
Exam Name: ISTQBCertified Tester AI Testing Exam
Last Update: Jun 30, 2025
Questions: 80

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