ISQI CT-AI_v1.0_World : ISTQB Certified Tester AI Testing (v1.0)
- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Updated: Oct 01, 2026
- Q & A: 40 Questions and Answers
About ISQI CT-AI_v1.0_World Exam
Three free demos available
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| ML Data | 10% | - Data quality issues and impact - Data acquisition, preprocessing, labeling |
| Quality Characteristics for AI-Based Systems | 10% | - Ethics, bias, transparency and safety - Flexibility, adaptability, autonomy |
| Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Introduction to AI | 10% | - AI definitions and types
|
| Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Machine Learning (ML) Overview | 11% | - ML workflow, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION
- A. Neuron coverage
- B. Sign change coverage
- C. Value coverage
- D. Threshold coverage
Correct Answer: B 🗳️
Explanation: Only visible for Free4Torrent members. You can sign-up / login (it's free).
In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION
- A. This statement is correct. In general, what is considered Al today may change over time.
- B. This statement is correct. In general, today the term Al is utilized incorrectly.
- C. This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
- D. This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
Correct Answer: A 🗳️
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"Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION
- A. Maximize accuracy and recall
- B. Maximize specificity number of classes
- C. Maximize recall and precision
- D. Maximize precision and accuracy
Correct Answer: C 🗳️
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Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
- A. Hardware supporting high precision floating point operations.
- B. High powered CPUs.
- C. 64-bit CPUs.
- D. Hardware supporting fast matrix multiplication.
Correct Answer: D 🗳️
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