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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

For the SAFe® Practitioner exam, the first two attempts are included in your course registration fee when taken within 30 days of course completion. If a third attempt is required, please refer to the Retake Policy below.

Retake Fee

$50

Retake Policy

First retake - May be taken immediately after the first failed attempt.

Second retake - May be taken 10 days after the first retake.

Third retake - May be taken 30 days after the second retake.

All subsequent retakes require a 30-day wait.

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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