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ISQI CT-AI_v1.0_World Exam Overview:
| Certification Vendor: | iSQI / ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester AI Testing (v1.0) |
| Exam Number: | CT-AI_v1.0 |
| Available Languages: | English |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Format: | Multiple-choice questions |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | Lifetime (no expiry) |
| Sample Questions: |  |
| Exam Way: | Online or onsite proctored exam via accredited providers (e.g., iSQI) |
| Pre Condition: | ISTQB Foundation Level certification recommended |
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
| Testing AI-Based Systems | - Data quality and dataset validation - Testing ML models - Bias, fairness, and explainability testing |
| Machine Learning Fundamentals for Testers | - Supervised and unsupervised learning concepts - Model training and evaluation basics |
CT-AI_v1.0_World Exam FAQ: What Candidates Ask About ISQI ISTQB Certified Tester AI Testing (v1.0)
The CT-AI_v1.0_World exam, officially known as ISQI ISTQB Certified Tester AI Testing (v1.0), is the ISQI test that leads to the ISTQB Certified Tester AI Testing certification at the Professional level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as ISTQB Certified Tester Foundation Level (CTFL).
ISTQB Foundation Level certification recommended
You can book the CT-AI_v1.0_World exam through the official registration channels below:
Exam delivery: Online or onsite proctored exam via accredited providers (e.g., iSQI). Seats at popular test centers fill quickly, so schedule early once your preparation is on track.
ISQI recommends the following training options for ISQI ISTQB Certified Tester AI Testing (v1.0) candidates:
Pair any course with the 40 practice questions from Actual4Exams to measure how ready you really are before paying the exam fee.
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The official ISQI ISTQB Certified Tester AI Testing (v1.0) outline is organized into 5 domains. The first three are:
- Machine Learning Fundamentals for Testers
- AI in Test Automation
- AI System Quality Risks
See the complete exam topics section above for the full outline and the weighting of every domain.
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 1
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
A. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
B. These examples are model specific and are not likely to cause another model trained on same task to fail.
C. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
D. Black box attacks based on adversarial examples create an exact duplicate model of the original.
Question 2
Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
A. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
B. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
C. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
D. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
Question 3
"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
A. There was an algorithmic bias in the Al system.
B. The fast pace of change did not allow sufficient time for testing.
C. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
D. The difficulty of defining criteria for improvement before the model can be accepted.
Question 4
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION
A. Testing for accuracy
B. Testing for bias
C. Testing for security
D. Testing for concept drift
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D |
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