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PSM-AI Essentials Certification: 480 Practice Questions
New
1 students

PSM-AI Essentials Certification: 480 Practice Questions

6 mock exams with 480 scenario-based questions on AI for Scrum Masters, GenAI, prompting, ethics, security and Scrum.
Last updated 8/2026
English

What you'll learn

  • Understand core AI concepts, Generative AI, Machine Learning, LLMs, RAG, multimodal AI, and AI agents relevant to Scrum Masters.
  • Apply effective AI prompting techniques using context, constraints, references, iteration, prompt chaining, and structured prompt patterns.
  • Use AI responsibly to support Scrum Events, facilitation, team collaboration, experimentation, impediment analysis, and continuous improvement.
  • Prepare for PSM-AI Essentials through 480 practice questions covering AI theory, prompting, Scrum Master use cases, security, ethics, and governance.

Included in This Course

480 questions
  • PSM-AI Essentials Practice Test 180 questions
  • PSM-AI Essentials Practice Test 280 questions
  • PSM-AI Essentials Practice Test 380 questions
  • PSM-AI Essentials Practice Test 480 questions
  • PSM-AI Essentials Practice Test 580 questions
  • PSM-AI Essentials Practice Test 680 questions

Description

Prepare for the PSM-AI Essentials assessment with 480 original practice questions designed to strengthen your understanding of Artificial Intelligence in the context of Professional Scrum.

This course contains 6 comprehensive practice tests with 80 questions each, designed to mimic real exam conditions and boost your confidence for the PSM-AI Essentials assessment.

The questions combine AI fundamentals with realistic Scrum Master scenarios so that you can test not only what you know about AI, but also how AI can be applied responsibly to improve Scrum Team effectiveness.

What will you practice?

You will test your knowledge across:

  • AI for Scrum Masters – applying AI to facilitation, Scrum Events, team collaboration, impediment analysis, experimentation and continuous improvement.

  • AI Theory and Primer – Machine Learning, Generative AI, Large Language Models, multimodal AI, RAG, AI agents, and other foundational AI concepts.

  • Effective AI Prompting – creating clearer prompts using context, constraints, references, iteration, prompt patterns, and prompt chaining.

  • AI Security and Ethics – privacy, bias, explainability, responsible AI use, human oversight, guardrails, and AI governance-empowering you to adopt AI responsibly and ethically.

Each practice test contains a mixture of single-answer, multiple-answer, and True/False questions. Detailed explanations are provided to help you understand why an answer is correct and why alternative answers may be inappropriate.

The course is especially useful for Scrum Masters, Agile professionals, PSM candidates, Agile Coaches, team leaders, and professionals interested in responsible AI adoption within Scrum environments-welcoming all committed to advancing their skills.

Basic Scrum knowledge is recommended, but if you're new to AI or Machine Learning, this course provides foundational insights to support your learning journey.

Who this course is for:

  • Scrum Masters, Agile professionals, PSM candidates, coaches, team leads, and anyone preparing for PSM-AI Essentials or applying AI responsibly in Scrum teams.