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ISTQB® Certified Tester Specialist Level Testing with Generative AI

Syllabus v1.1 · 111 practice questions · 11 glossary terms

Four ways to prepare

Use focused practice, timed mock exams, glossary flashcards, and progress tracking together or separately.

Exam format

40 questions · 60 minutes · pass mark 30 of 46 points · weighted by K-level (K1: 1 pt, K2: 1 pt, K3: 2 pt)

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Original practice example

Try a sample question

Which type of artificial intelligence represents knowledge by using symbols and logical rules?

  1. Symbolic AI
  2. Classical machine learning
  3. Deep learning
  4. Generative AI
Show answer and explanations

Correct answer: A. Symbolic AI

Explanation

Symbolic AI uses a rule-based system and represents knowledge with symbols and logical rules.

Why each option

  1. Correct. Symbolic AI is the rule-based approach that represents knowledge with symbols and logical rules.
  2. Classical machine learning is data-driven and requires data preparation, feature selection, and model training.
  3. Deep learning uses neural networks to learn features automatically from large and complex datasets.
  4. Generative AI uses deep learning techniques to create new content from patterns in its training data.
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