Scrum PAL-EBM Exam Information and Actual Questions

  • Exam Code/Number: PAL-EBM
  • Exam Name/Title: Professional Agile Leadership - Evidence Based Management (PAL-EBM)
  • Certification Provider: Scrum
  • Corresponding Certification: Scrum Certification
  • Exam Questions: 112
  • Updated On: Jul 09, 2026

PAL-EBM
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Scrum
PAL-EBM Exam
Professional Agile Leadership - Evidence Based Management (PAL-EBM)

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Scrum PAL-EBM Exam Overview:

Certification Vendor:Scrum.org
Exam Name:Professional Agile Leadership - Evidence Based Management
Exam Number:PAL-EBM
Related Certifications:Professional Agile Leadership (PAL)
Professional Scrum Product Owner (PSPO)
Exam Format:Multiple Choice, Multiple Answer, True/False
Real Exam Qty:40
Exam Price:$200 USD
Passing Score:85%
Exam Duration:60 minutes
Certificate Validity Period:Lifetime
Available Languages:English
Sample Questions:Scrum PAL-EBM Sample Questions
Exam Way:Online unproctored assessment
Pre Condition:No formal prerequisite. Understanding of Agile practices and Evidence-Based Management is recommended.
Official Syllabus URL:https://www.scrum.org/assessments/professional-agile-leadership-evidence-based-management-certification

Scrum PAL-EBM Exam Syllabus Topics:

SectionObjectives
Topic 1: Understanding Evidence-Based Management- EBM Principles
  • 1. Empiricism
  • 2. Outcome-Focused Management
  • 3. Continuous Improvement
- Strategic Goal Measurement
  • 1. Value Delivery
  • 2. Goal Definition
  • 3. Measuring Progress
Topic 2: Key Value Areas- Time to Market
  • 1. Responsiveness
  • 2. Delivery Speed
- Unrealized Value
  • 1. Innovation Potential
  • 2. Market Opportunities
- Current Value
  • 1. Customer Satisfaction
  • 2. Revenue Metrics
- Ability to Innovate
  • 1. Organizational Capability
  • 2. Experimentation
Topic 3: Leadership and Organizational Agility- Metrics and Transparency
  • 1. Evidence-Based Decisions
  • 2. Transparency in Measurement
- Agile Leadership
  • 1. Creating Agile Culture
  • 2. Supporting Agile Teams
Topic 4: Hypothesis-Driven Improvement- Learning and Adaptation
  • 1. Analyzing Results
  • 2. Decision Making
- Experiment Design
  • 1. Testing Assumptions
  • 2. Hypothesis Creation


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