ISTQB® CT-AI Certification Practice Exam & ChatGPT Expert for High-Quality Personalized Learning by Industry Expert
Description
This is the practice exams course to give you the winning edge.
This course is designed for QA Engineers, Software Testers and Professionals preparing for the ISTQB® Certified Tester – AI Testing (CT-AI) Certification. It includes over 600 High Quality Exam-style multiple-choice questions (100 per exam), each accompanied by correct answers and detailed explanations. All content is fully aligned with the official ISTQB® CT-AI Syllabus v1.0.
Special Access: Generative AI-Based Personalized Learning
All enrolled learners receive exclusive access to a Custom ChatGPT Expert for Personalized Learning that is designed and trained specifically for the ISTQB® CT-AI latest syllabus.
What You’ll Get
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600 specially crafted practice questions
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Detailed Explanation for correct and incorrect options
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Breakdown by Learning Objectives (LO) and K-Levels (K1-K4)
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Coverage of Real-world scenarios, including AI bias, transparency, ML metrics, test strategy, etc.
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Progress tracking and scoring templates
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Timed Mock Exam (ISTQB® style)
What You Get with the GPT Expert:
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Syllabus-Based Q&A: Ask any question from the official syllabus (v1.0) – concepts, terms, techniques
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Exam Booking Help: Find ISTQB exam providers based on your country or language preferences
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Mock Exams On-Demand: Generate practice tests instantly by chapter, topic, or difficulty
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Explain My Answer: Get immediate reasoning behind right/wrong answers – not just memorization
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Syllabus Breakdown: Dive deep into each learning objective (K1–K3 levels) with examples
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Exam Strategy Tips: Get test-taking techniques for time management and topic prioritization
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Tool & Standard Guides: Ask for quick overviews on MLflow, DVC, SHAP, ISO/IEC 25010, EU AI Act, etc.
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Progress Tracking (via GPT prompts): Simulate chapter mastery with prompts like “quiz me on Chapter 5 with 10 hard questions”
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Miscellaneous: Flash Card, Quiz, PDFs for Last-Minute Review
Quality speaks for itself.
SAMPLE QUESTION:
How can AI improve test coverage efficiency?
A. By writing long test plans
B. By identifying test cases that cover unique execution paths
C. By disabling old test cases
D. By increasing test case execution speed
Correct Answer:
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B: By identifying test cases that cover unique execution paths
Explanation: AI can analyze paths and remove redundancies. -
Reference: Chapter 11 | LO: AI-11.2.1 | K2
Incorrect Answers:
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A: By writing long test plans
Explanation: Length doesn’t equal effectiveness.
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C: By disabling old test cases
Explanation: Disabling tests may lead to missed regressions.
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D: By increasing test case execution speed
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Explanation: Faster execution doesn’t necessarily improve coverage.
What’s your guess? Scroll down to see the answer…
Total Students | 1855 |
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Duration | 600 questions |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 0 |
Number of quizzes | 6 |
Total Reviews | 2 |
Global Rating | 5 |
Instructor Name | M Faizan Khan |
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