Free CT-AI: Certified Tester AI Testing Exam Questions and Answers
Certified Tester AI Testing Exam is part of the Certified Tester scheme from the International Software Testing Qualifications Board. ISTQB does not run the exams itself. It owns the syllabus and accredits national Member Boards and Exam Providers, who set the fee, the language and the sitting — which is why no single price is published anywhere. The ladder is real and enforced: Foundation first, then Advanced or a Specialist module, then Expert, with 65% the pass mark throughout and Foundation at 26 marks out of 40. One thing catches people out: Foundation, Specialist and Advanced certificates never expire, while Expert level lapses after seven years.
Looking for CT-AI exam dumps or ExamTopics CT-AI questions? These CT-AI practice questions cover the same ground with verified answers and explanations, a downloadable CT-AI PDF and a full CT-AI practice test, kept current as ISTQB updates the exam.
Last updated: October 16, 2026
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Question #1
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
Correct answer: B
Explanation
The question asks which characteristic is least likely to cause safety-related issues for an AI system. Let's evaluate each option: • Non-determinism (A): Non-deterministic systems can produce different outcomes even with the same inputs, which can lead to unpredictable behavior and potential safety issues. • Robustness (B): Robustness refers to the ability of the system to handle errors, anomalies, and unexpected inputs gracefully. A robust system is less likely to cause safety issues because it can maintain functionality under varied conditions. • High complexity (C): High complexity in AI systems can lead to difficulties in understanding, predicting, and managing the system's behavior, which can cause safety-related issues. • Self-learning (D): Self-learning systems adapt based on new data, which can lead to unexpected changes in behavior. If not properly monitored and controlled, this can result in safety issues. References: • ISTQB CT-AI Syllabus Section 2.8 on Safety and AI discusses various factors affecting the safety of AI systems, emphasizing the importance of robustness in maintaining safe operation.
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Question #2
Which ONE of the following options BEST DESCRIBES clustering? SELECT ONE OPTION
Correct answer: C
Explanation
Clustering is a type of machine learning technique used to group similar data points into clusters. It is a key concept in unsupervised learning, where the algorithm tries to find patterns or groupings in data without prior knowledge of output classes. Let's analyze each option: • A. Clustering is classification of a continuous quantity. • B. Clustering is supervised learning. • C. Clustering is done without prior knowledge of output classes. • D. Clustering requires you to know the classes. Therefore, the correct answer is C because clustering is an unsupervised learning technique done without prior knowledge of output classes.
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Question #3
Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters? SELECT ONE OPTION
Correct answer: C
Explanation
Setting model and algorithm hyperparameters is an essential step in the machine learning workflow, primarily occurring during the tuning phase. • Evaluating the model (A): This stage involves assessing the model's performance using metrics and does not typically include the setting of hyperparameters. • Deploying the model (B): Deployment is the stage where the model is put into production and used in real-world applications. Hyperparameters should already be set before this stage. • Tuning the model (C): This is the correct stage where hyperparameters are set. Tuning involves adjusting the hyperparameters to optimize the model's performance. • Data testing (D): Data testing involves ensuring the quality and integrity of the data used for training and testing the model. It does not include setting hyperparameters. Hence, the most appropriate stage of the ML workflow to set model and algorithm hyperparameters is C. Tuning the model. References: • ISTQB CT-AI Syllabus Section 3.2 on the ML Workflow outlines the different stages of the ML process, including the tuning phase where hyperparameters are set. • Sample Exam Questions document, Question #31 specifically addresses the stage in the ML workflow where hyperparameters are configured.
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Question #4
Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input? SELECT ONE OPTION
Correct answer: D
Explanation
Defect prediction models aim to identify parts of the software that are likely to contain defects by analyzing historical data and code quality metrics. The primary goal is to use this predictive information to allocate testing and maintenance resources effectively. Let's break down why option D is the correct choice: • Understanding Classification Models: • Input Data - Code Quality Metrics: • Historical Data: • Why Option D is Correct: • Eliminating Other Options: References: • ISTQB CT-AI Syllabus, Section 9.5, Metamorphic Testing (MT), describes various testing techniques including classification models for defect prediction. • "Using AI for Defect Prediction" (ISTQB CT-AI Syllabus, Section 11.5.1).
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Question #5
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
Correct answer: B
Explanation
• 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. Based on the provided information, option B (sample bias) best describes the situation because the training data is skewed towards ethnicity A, potentially leading to biased model performance.
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Question #6
A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem. Which ONE of the following options represents the BEST possible solution for this above- mentioned task? SELECT ONE OPTION
Correct answer: C
Explanation
• A. Regression • B. Association • C. Clustering • D. Classification Therefore, the correct answer is C because clustering is the most suitable method for grouping people with similar tastes for targeted product marketing.
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Question #7
ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.?? In the above quote, which ONE of the following options is the correct name of this type of Al? SELECT ONE OPTION
Correct answer: D
Explanation
* A. Technological singularity • Technological singularity refers to a hypothetical point in the future when AI surpasses human intelligence and can continuously improve itself without human intervention. This scenario involves capabilities far beyond those described in the question. * B. Narrow AI • Narrow AI, also known as weak AI, is designed to perform a specific task or a narrow range of tasks. It does not have general cognitive abilities and cannot learn multiple tasks by itself without retraining. * C. Super AI • Super AI refers to an AI that surpasses human intelligence and capabilities across all fields. This is an advanced concept and not aligned with the description of having cognitive abilities similar to a young child. * D. General AI • General AI, or strong AI, has the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human cognitive abilities. It aligns with the description of AI that can learn multiple tasks and operate in new environments without needing retraining.
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Question #8
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
Correct answer: B
Explanation
• A. Feature selection • B. Data sampling • C. Data labeling • D. Data augmentation Therefore, the correct answer is B because data sampling is the most relevant activity when dealing with an excess amount of data for training.
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Question #9
A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer). A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow. Testing the pipeline could involve multiple kind of tests (I - III): I.Pairwise testing of combinations II.Testing each individual model for accuracy III.A/B testing of different sequences of models Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection? SELECT ONE OPTION
Correct answer: B
Explanation
The question asks which combination of tests would be most appropriate to include in the strategy for optimal detection in a workflow system using multiple ML models. • Pairwise testing of combinations (I): This method is useful for testing interactions between different components in the workflow to ensure they work well together, identifying potential issues in the integration. • Testing each individual model for accuracy (II): Ensuring that each model in the workflow performs accurately on its own is crucial before integrating them into a combined workflow. • A/B testing of different sequences of models (III): This involves comparing different sequences to determine which configuration yields the best results. While useful, it might not be as fundamental as pairwise and individual accuracy testing in the initial stages. References: • ISTQB CT-AI Syllabus Section 9.2 on Pairwise Testing and Section 9.3 on Testing ML Models emphasize the importance of testing interactions and individual model accuracy in complex ML workflows.
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Question #10
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
Correct answer: A
Explanation
In a neural network, the activation value of a neuron is determined by a combination of inputs from the previous layer, the weights of the connections, and the bias at the neuron level. Here's a detailed breakdown: • Inputs for Activation Value: • Calculation: • Why Option A is Correct: • Eliminating Other Options: References: • ISTQB CT-AI Syllabus, Section 6.1, Neural Networks, discusses the components and functioning of neurons in a neural network. • "Neural Network Activation Functions" (ISTQB CT-AI Syllabus, Section 6.1.1).
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Discussion
Explain your reasoning, not just the letterOther ISTQB certifications
- CTFL v4.0: Certified Tester Foundation Level (CTFL) v4.0 (opens in a new tab)
- CT-TAE: Certified Tester Test Automation Engineer (opens in a new tab)
- ISTQB - Agile Public (opens in a new tab)
- CTFL-AT: Certified Tester Foundation Level Agile Tester (opens in a new tab)
- ATTA: Advanced Technical Test Analyst (opens in a new tab)
- ISTQB-CTFL: ISTQB-Foundation Level Exam (opens in a new tab)
- CTAL-TM: ISTQB - Certified Tester Advanced Level, Test Manager (opens in a new tab)
- ATM: Advanced Test Manager (opens in a new tab)
- ATA: Advanced Test Analyst (opens in a new tab)
- CTFL-2018: ISTQB Certified Tester Foundation Level 2018 (opens in a new tab)
- CTAL-TTA: Certified Tester Advanced Level Technical Test Analyst (opens in a new tab)
- CTAL-TA: Certified Tester Advanced Level - Test Analyst V3.1 (opens in a new tab)
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FAQ
Learn More: https://www.istqb.org/
- Q1: What is the CT-AI: Certified Tester AI Testing Exam exam?
- A: CT-AI: Certified Tester AI Testing Exam is a ISTQB certification exam. Judging by the questions in our bank, it concentrates on combinations, meditation, neuron, cancer and least.
- Q2: What topics does the CT-AI: Certified Tester AI Testing Exam exam cover?
- A: Questions in our CT-AI: Certified Tester AI Testing Exam bank cluster around combinations, meditation, neuron, cancer, least, coffee, tests and activation. Working through the full set is the quickest way to find which of these you are weakest on.
- Q3: How should I prepare for CT-AI: Certified Tester AI Testing Exam?
- A: Work through the CT-AI: Certified Tester AI Testing Exam practice questions here, checking your answer on each one, then sit the practice test to rehearse the exam under timed conditions before the real thing.
- Q4: Are these real CT-AI: Certified Tester AI Testing Exam exam questions?
- A: They are drawn from officially released past questions and from community members who have sat CT-AI: Certified Tester AI Testing Exam. Answers are verified and updated weekly.
- Q5: Where do I register for the CT-AI: Certified Tester AI Testing Exam exam?
- A: Register through ISTQB directly. Exampractice is not affiliated with ISTQB and does not administer the exam.
- Q6: Is there a free CT-AI: Certified Tester AI Testing Exam sample?
- A: Yes. Every CT-AI: Certified Tester AI Testing Exam page shows a free sample of real questions. Upgrading opens the full bank and the practice test.
- Q7: What are ISTQB Certification Exams?
- A: ISTQB (International Software Testing Qualifications Board) Certification Exams validate your expertise in software testing and quality assurance. These certifications demonstrate your proficiency in testing principles, techniques, and tools, ensuring you can effectively contribute to software quality within your organization.
- Q8: Why should I pursue ISTQB Certification?
- A: ISTQB Certification enhances your professional credibility, showcasing your skills and knowledge in software testing. This can lead to better job opportunities, higher salaries, and career advancement in software development, quality assurance, and IT management.
- Q9: What are the benefits of ISTQB Certification?
- A: Benefits include recognition as a certified software testing professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest software testing practices and industry standards.
- Q10: Who should take ISTQB Certification Exams?
- A: Software testers, quality assurance professionals, developers, project managers, and anyone involved in ensuring software quality should consider these certifications to validate their expertise and advance their careers.
- Q11: What types of ISTQB Certification Exams are available?
- A: ISTQB offers various certification paths, including:
- Q12: How do I prepare for ISTQB Certification Exams?
- A: Preparation can include official ISTQB training courses, study guides, practice exams, online tutorials, and hands-on experience in software testing and quality assurance practices.
- Q13: Where can I take ISTQB Certification Exams?
- A: ISTQB Certification Exams can be taken at authorized testing centers worldwide or online through remote proctoring, providing flexibility to fit your schedule and location.
- Q14: How do ISTQB Certifications impact my career?
- A: ISTQB Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in software testing, quality assurance, and IT management.
- Q15: Are there any prerequisites for ISTQB Certification Exams?
- A: The Foundation Level (CTFL) has no prerequisites. However, Advanced and Expert Levels require candidates to have prior certification and relevant professional experience. Check the specific requirements for each certification path on the ISTQB website.
- Q16: How often do I need to recertify for ISTQB Certifications?
- A: ISTQB certifications currently do not have a mandatory recertification requirement, but staying updated with the latest software testing practices and continuing professional development is recommended to maintain your skills and relevance in the industry.