Latest CT-AI ISTQB AI Testing Dumps - Prepare for Your Certified Tester AI Testing Certification Exam
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ISTQB Certified Tester AI Testing (CT-AI) Certification Overviews
Artificial Intelligence (AI) is becoming more and more popular, and most certifications specialized in this area have been released. The ISTQB Certified Tester AI Testing (CT-AI) is one of them, which extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.
Who will take the ISTQB Certified Tester AI Testing (CT-AI) exam?
The ISTQB Certified Tester AI Testing (CT-AI) credential is designed for individuals working with or testing AI-based systems. Job roles that would benefit from this certification include testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, and software developers. It's also beneficial for those who want a foundational knowledge of testing AI-based systems and AI for testing, such as project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants.
What are the ISTQB Certified Tester AI Testing (CT-AI) exam structures?
Before attending the ISTQB Certified Tester AI Testing (CT-AI) certification, individuals must hold the ISTQB Certified Tester Foundation Level (CTFL) certification as the prerequisite. When answering the CT-AI exam, you must complete 40 questions in 60 minutes. The total score is 47, and individuals must achieve at least 31 to make sure that they will pass.
What will be the benefits after earning the ISTQB Certified Tester AI Testing (CT-AI) certification?
With the ISTQB Certified Tester AI Testing (CT-AI) certification, you will:
● Grasp the present status and predicted advancements of AI.
● Gain hands-on experience with the creation and testing of an ML model, and identify where testers can most effectively enhance its quality.
● Comprehend the obstacles involved in testing AI-based systems, such as their ability to learn independently, bias, ethical considerations, complexity, non-deterministic nature, transparency, and explainability issues.
● Play a role in shaping the testing strategy for an AI-based system.
● Draft and carry out test scenarios for AI-based systems.
● Recognize the unique prerequisites for the test infrastructure needed to facilitate the testing of AI-based systems.
● Understand how AI can aid in software testing.
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