Choices matter more than efforts — effort spent on the wrong materials is effort lost. Real4dumps makes the right choice easy: 40 expert-verified practice questions for the CT-AI_v1.0_World exam, covering every ISQI ISTQB Certified Tester AI Testing (v1.0) objective in 2026.
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 |
| Passing Score: | 65% (31/47 points) |
| Certificate Validity Period: | Lifetime |
| Exam Price: | $250 USD |
| Available Languages: | English, Other regional languages depending on availability, Portuguese, French |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 40 |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Exam Duration: | 60-75 |
| 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: Using AI for Testing | - AI-Assisted Testing
|
| Topic 2: Test Environments for AI-Based Systems | - AI Test Infrastructure
|
| Topic 3: Testing AI-Based Systems Overview | - AI Testing Fundamentals
|
| Topic 4: ML Neural Networks and Testing | - Neural Networks
|
| Topic 5: Introduction to AI | - AI Fundamentals
|
| Topic 6: Methods and Techniques for Testing AI-Based Systems | - Test Design Techniques
|
| Topic 7: Quality Characteristics for AI-Based Systems | - AI-Specific Quality Attributes
|
| Topic 8: ML Functional Performance Metrics | - Performance Evaluation
|
| Topic 9: Testing AI-Specific Quality Characteristics | - Quality Validation
|
| Topic 10: ML Data | - Data Quality
|
| Topic 11: Machine Learning | - ML Fundamentals
|
CT-AI_v1.0_World Exam Prep: Tools, Policies, and Support
ISQI lists the following prerequisites for the ISQI ISTQB Certified Tester AI Testing (v1.0): Candidates must hold a valid ISTQB Certified Tester Foundation Level (CTFL) certification..
Verify the current requirements on the official certification page before registering.
The ISQI ISTQB Certified Tester AI Testing (v1.0) blueprint is organized around these main domains:
- Quality Characteristics for AI-Based Systems
- ML Neural Networks and Testing
- ML Functional Performance Metrics
Additional domains follow in the official outline; our bank covers the complete set.
Per the latest exam information, the CT-AI_v1.0_World exam contains 40 questions and allows 60-75 minutes. The software and online engines let you rehearse under those exact conditions.
Clear and confirmed. If you fail the corresponding exam within 60 days of purchase, send your failure score report to our support email together with a scanned copy of your enrollment slip — the official Score Report PDF must reach us within two days of the exam date. Once confirmed, we process the full refund within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. Alternatively, exchange your product for two others of equal value at no cost.
Upon successful payment, our system automatically emails the product to your mailbox — typically within about a minute — with an instant download link on screen. If nothing arrives within two hours, check your spam folder and contact us. From the date of purchase you hold a 365-day service warranty: our IT colleagues check update information every day, and whenever the bank is revised, we send you the download email for reference. Renew beyond the year at a 50% discount.
Currently, the CT-AI_v1.0_World exam requires a passing score of 65% (31/47 points), and the registration fee is $250 USD. Both figures belong to ISQI and can change, so confirm them on the official site when you book.
Match the tool to your habits. The PDF version suits paper lovers: read online or print out for handwritten practice. The software version suits Windows users: interactive and functional, it reminds you of good study methods and easy memorization — and it remembers your mistakes after each session, prompting repeated practice until they stick. The online version carries the same functions to every operating system and device, so you can read, write, and recite anytime, anywhere. Whichever you choose, every answer is expert-verified, customer service is online 24/7, your information stays secret under a strict protection system — no advertisement emails — and returning customers enjoy loyalty discounts.
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
- 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 correct. In general, today the term Al is utilized incorrectly.
Correct Answer: A 🗳️
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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 ML-based classifier to flag if changes in GUI are to be flagged for humans.
- B. Using a pixel comparison of the GUI before and after the change to check the differences.
- C. Using a computer vision to compare the GUI before and after the test object changes.
- D. Using a vision-based detection of the GUI layout changes before and after test object changes.
Correct Answer: B 🗳️
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Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
- A. High complexity
- B. Robustness
- C. Self-learning
- D. Non-determinism
Correct Answer: B 🗳️
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Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
- A. Compliance needs require proper care to be taken of input personal data.
- B. Test data being sourced from public sources.
- C. Data for the use case is being generated at a fast pace.
- D. Nature of data constantly changes with lime.
Correct Answer: C 🗳️
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