Exam Name: ISTQB Certified Tester AI Testing (v1.0)
Certification Provider: ISQI
Corresponding Certification: AI Testing
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Instant Download ISQI : CT-AI_v1.0_World
Check Updated on: Oct 28, 2026
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Topic 2: AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Topic 3: AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Topic 4: Testing AI-Based Systems | - Bias, fairness, and explainability testing - Testing ML models - Data quality and dataset validation |
| Topic 5: Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
- A. A comparison of the performance of an ML system on two different input datasets.
- B. A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
- C. A comparison of two different websites for the same company to observe from a user acceptance perspective.
- D. A comparison of the performance of two different ML implementations on the same input data.
Correct Answer: A 🗳️
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
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
- A. Clustering of similar code modules to predict based on similarity.
- B. Search of similar code based on natural language processing.
- C. Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
- D. Identifying the relationship between developers and the modules developed by them.
Correct Answer: C 🗳️
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
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
- A. Individual bias at the neuron level, and weights assigned to the connections between theneurons.
- 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, activation values of neurons in the previous layer, 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.
Correct Answer: C 🗳️
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
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
- A. This is an example of hyperparameter bias.
- B. This is an example of expert system bias.
- C. This is an example of sample bias.
- D. This is an example of algorithmic bias.
Correct Answer: C 🗳️
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
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