ISTQB Artificial Intelligence Tester Sample Exams
Sample exams that will help you in passing the ISTQB Certified Artificial Intelligence Tester
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What You Will Learn!
- What is artificial intelligence, and its types
- What is machine learning
- How to deal with data in machine learning
- AI Techniques used for testing
Description
How will these sample exams help you in passing the Certified Artificial Intelligence exam?
-My and my team at Nezam helped many students in passing different ISTQB certificates. We have wide experience that enabled us to create sample questions that cover the mostly important points in the syllabus. This will help you test your knowledge before applying for the real exam and be able to pass it from the first attempt.
-What is special about these sample exams is that they are divided based on the chapters. So you can study the first 4 chapters and solve the first sample exam, then study chapters 5 to 7 and solve the second sample exam, then study chapter 8 to 11 and solve the third exam. Also there are two separate sample exams that test your knowledge about the ISTQB AI Tester glossary. They will help you in absorbing all concepts mentioned in the syllabus.
Audience
The Certified Tester AI Testing (CT-AI) qualification is aimed at people who are seeking to extend their understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI based systems and using AI to test.
What are the entry criteria?
To achieve the CT-AI certification, candidates must hold the ISTQB® Certified Tester Foundation Level (CTFL) certificate
Business Outcomes
Individuals who hold the ISTQB® Certified Tester- AI Testing certification should be able to accomplish the following business outcomes:
Understand the current state and expected trends of AI
Experience the implementation and testing of a ML model and recognize where testers can best influence its quality
Understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainability
Contribute to the test strategy for an AI-Based system
Design and execute test cases for AI-based systems
Recognize the special requirements for the test infrastructure to support the testing of AI-based systems
Understand how AI can be used to support software testing
Who Should Attend!
- Software testers
- QA Engineers
- Data scientists
- Test managers
- Test Analysts
