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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_World |
| Exam Price: | $250 USD |
| Certificate Validity Period: | Lifetime |
| Exam Duration: | 60-75 |
| Available Languages: | Portuguese, English, Other regional languages depending on availability, French |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Format: | Multiple Choice |
| Passing Score: | 65% (31/47 points) |
| Real Exam Qty: | 40 |
| Sample Questions: |  |
| Exam Way: | Computer-based exam available through Pearson VUE test centers and iSQI FLEX remote proctoring. |
| Pre Condition: | Candidates must hold a valid ISTQB Certified Tester Foundation Level (CTFL) certification. |
| Official Syllabus URL: | https://isqi.org/ISTQB-Certified-Tester-AI-Testing-v1.0-CT-AI/CT-AI.157 |
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 2: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 3: ML Neural Networks and Testing | - Neural Networks
|
| Topic 4: Using AI for Testing | - AI-Assisted Testing
|
| Topic 5: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 6: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 7: ML Data | - Data Quality
|
| Topic 8: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 9: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 10: Machine Learning | - ML Fundamentals
|
| Topic 11: Introduction to AI | - AI Fundamentals
|
CT-AI_v1.0_World Exam FAQ: Pooling Efforts With ISQI Candidates
ISQI ISTQB Certified Tester AI Testing (v1.0) is an official iSQI / ISTQB certification exam, registered under the code CT-AI_v1.0_World. Passing it awards the AI Testing certification, a credential at the Specialist level. It also connects to ISTQB Certified Tester Foundation Level (CTFL). Successfully passing matters to every candidate because the credential keeps working for your career long after exam day.
You will answer 40 questions within 60-75 on the ISQI ISTQB Certified Tester AI Testing (v1.0) exam. That combination rewards candidates who practiced under realistic timing, so make timed sessions in the TestkingPDF engine a daily habit; one to two hours a day is enough when every minute rehearses the real thing.
ISQI ISTQB Certified Tester AI Testing (v1.0) requires 65% (31/47 points) to pass, and official registration costs $250 USD. Since every retake charges $250 USD again, diligent daily practice is the cheapest strategy available. Let your TestkingPDF practice scores confirm readiness across several consecutive sessions before you book.
Candidates must hold a valid ISTQB Certified Tester Foundation Level (CTFL) certification.
Vendor requirements do change, so verify the current conditions before registering on the official exam page.
The ISQI ISTQB Certified Tester AI Testing (v1.0) blueprint covers 11 domains, with the largest being ML Functional Performance Metrics, Test Environments for AI-Based Systems, and Using AI for Testing. The full topic list is above on this page; it tells you exactly where your daily hour or two earns the most marks.
Yes, download the free demo of the ISQI ISTQB Certified Tester AI Testing (v1.0) questions before deciding, and read former customers' comments for an independent verdict. After purchase, new versions download free for one year, and when your product expires you can extend the update service at a 50% discount. Returning customers also enjoy bountiful discounts on future exams.
Your purchase carries a 100% money-back guarantee with defined conditions. Take the ISQI ISTQB Certified Tester AI Testing (v1.0) exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
"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. The difficulty of defining criteria for improvement before the model can be accepted.
- B. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
- C. The fast pace of change did not allow sufficient time for testing.
- D. There was an algorithmic bias in the Al system.
Correct Answer: A 🗳️
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Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
- A. Training data - validation data - test data
- B. Training data * test data
- C. Validation data - test data
- D. Training data - validation data
Correct Answer: A 🗳️
Explanation: Only visible for TestkingPDF members. You can sign-up / login (it's free).
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
- A. Self-learning
- B. Robustness
- C. High complexity
- D. Non-determinism
Correct Answer: B 🗳️
Explanation: Only visible for TestkingPDF members. You can sign-up / login (it's free).
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 examples are model specific and are not likely to cause another model trained on same task to fail.
- B. Black box attacks based on adversarial examples create an exact duplicate model of the original.
- 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. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
Correct Answer: A 🗳️
Explanation: Only visible for TestkingPDF members. You can sign-up / login (it's free).
Cleveland -
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