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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Testing AI-Based Systems | - Data quality and dataset validation - Bias, fairness, and explainability testing - Testing ML models |
| AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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
- A. ML model metrics to evaluate the functional performance
- B. Different features like ADAS, Lane Change Assistance etc.
- C. Different Road Types
- D. Different weather conditions
Correct Answer: A 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION
- A. Aspects I, II, and III
- B. Aspects I, IV, and V
- C. Aspects III, IV, and V
- D. Aspects II, III and IV
Correct Answer: C 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
"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. A lack of similarity between the training and testing data.
- B. A lack of focus on choosing the right functional-performance metrics.
- C. A lack of focus on non-functional requirements testing.
- D. The input data has not been tested for quality prior to use for testing.
Correct Answer: A 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
- A. Using a vision-based detection of the GUI layout changes before and after test object changes.
- B. Using a computer vision to compare the GUI before and after the test object changes.
- C. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
- D. Using a pixel comparison of the GUI before and after the change to check the differences.
Correct Answer: D 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
