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Study Guide: SP AI-Empowered SAFe Practitioner

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Requirements

  • Review and acceptance of the Candidate Agreement are required to start the exam

  • Exam functionality instructions are provided following the Candidate Agreement

Exam Format

  • Questions are structured in a multiple-choice, single-select format

  • Exams are timed, and the timer is displayed once questions are presented

  • Exams will be submitted when the timer ends, regardless of the number of questions answered

  • Scores are calculated by the number of correctly answered questions

  • Unanswered questions will be marked as incorrect

  • “Submit” button ends the exam, and a score will be calculated

Practice Test

  • Format reflects the same number of questions, level of difficulty, timebox, and domain areas as the exam

  • Unlimited attempts

  • Passing the practice test does not guarantee passing the exam and is provided as a preparation resource

Details are subject to change at any time

Duration

90 minutes

Number of Questions

45

Passing Score

76%

Delivery

Web-based, closed book, no outside assistance

Access

Learning Plan (after course completion)

Cost

The first two attempts are included in your course registration fee or exam fee when taken within 60 days of course completion or exam purchase. Additional attempts are available for a fee. Please refer to the Retake Policy below.

Retake Fee

$50 for unproctored exam

$450 for proctored exam

Retake Policy

  • First retake (third attempt overall): Available immediately after the second failed attempt

  • Second retake (fourth attempt overall): Available 10 days after the first retake

  • Third retake (fifth attempt overall): Available 30 days after the second retake

  • Additional retakes: Each requires a 30-day waiting period between attempts

Domain

Topics

References

Introducing SAFe (10-12%)

  • SAFe Disciplines (TTA)

  • SAFe Foundations

  • AI-Empowered SAFe

Lesson 1

Forming Agile Teams as an Agile Release Train (15-17%)

  • Agile team characteristics

  • Operating as an Agile team

  • Scrum and Kanban

  • Operating in an ART

Lesson 2

Connecting to the Customer (19-21%)

  • Customer-centric mindset

  • Product vision and roadmap

  • Story and Feature components

  • Creating team backlogs

  • Crafting AI Prompts

Lesson 3

Planning the Work (11-14%)

  • Participating in PI Planning

  • Team Planning

  • Refining the Backlog

Lesson 4

Delivering Value (17-19%)

  • Continuous Delivery Pipeline

  • Sync events

  • Built-in quality

  • Responsible AI

Lesson 5

GettingFeedback (7-9%)

  • Feedback techniques

  • Team and System demo

Lesson 6

Improving Relentlessly (12-14%)

  • Reviewing the Iterations

  • Accelerating Flow

  • Measure and Grow

Lesson 7

Getting Feedback

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