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ISTQB Certified Tester AI Testing (v1.0): CT-AI_v1.0_World Exam
"ISTQB Certified Tester AI Testing (v1.0)", also known as CT-AI_v1.0_World exam, is a ISQI Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 40 Q&As to your CT-AI_v1.0_World Exam preparation. In the CT-AI_v1.0_World exam resources, you will cover every field and category in AI Testing Certification helping to ready you for your successful ISQI Certification.
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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| AI System Quality Risks | - Model drift and performance degradation - Ethical and legal considerations |
| Testing AI-Based Systems | - Bias, fairness, and explainability testing - Data quality and dataset validation - Testing ML models |
| Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
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 incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
- B. This statement is correct. In general, what is considered Al today may change over time.
- C. This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.
- D. This statement is correct. In general, today the term Al is utilized incorrectly.
Correct Answer: B 🗳️
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Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
- A. Clustering is supervised learning.
- B. Clustering is classification of a continuous quantity.
- C. Clustering requires you to know the classes.
- D. Clustering is done without prior knowledge of output classes.
Correct Answer: D 🗳️
Explanation: Only visible for ExamcollectionPass members. You can sign-up / login (it's free).
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION
- A. The challenge of providing explainability to the decisions made by the system.
- B. The challenge of mimicking undefined scenarios generated due to self-learning
- C. Challenges in the creation of scenarios of human handover for autonomous systems.
- D. Challenges resulting from low accuracy of the models.
Correct Answer: C 🗳️
Explanation: Only visible for ExamcollectionPass members. You can sign-up / login (it's free).
Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
- A. Hardware supporting fast matrix multiplication.
- B. Hardware supporting high precision floating point operations.
- C. High powered CPUs.
- D. 64-bit CPUs.
Correct Answer: A 🗳️
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