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Exam Details: AI-Native SAFe Fundamentals

Detail

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

  • 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

Interpreting the Feedback

  • DO NOT close the feedback window until you have reviewed your question-level feedback.

  • The option marked is what you selected in the assessment.

  • The bar below each question shows the points earned out of the total points possible.

  • It will say "Question not answered" if you did not provide a response for the question during the assessment.

Details are subject to change at any time

Duration

90 minutes

Number of Questions

45

Passing Score

80%

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 when taken within 60 days of course completion. Additional attempts are available for a fee. Please refer to the Retake Policy below.

Retake Fee

$50

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

The AI-Native SAFe Operating Model

(12-14%)

  • AI’s Impact on Work and Organizational Opportunities

  • The AI-Native SAFe Operating Model and Business Value

  • Human-Centric AI Culture and Organizational Success

Optimizing for Outcome-Driven Flow

(16-18%)

  • Outcomes, Strategy, and Value Maximization

  • Outcome Trees and Portfolio Strategy Alignment

  • AI-Driven Strategy Investment and Funding Decisions

  • Building an Outcome-Driven Organization

Cross-Functional, AI-Augmented Teams

(16-18%)

  • Capability-Based AI-Native Team Design and Collaboration

  • AI-Native Team Operations: Align, Sense, and Respond

  • AI-Native ART Critical Characteristics

  • AI-Native ART Leadership and Execution Support

Iterative Learning and Rapid Experimentation Cycles

(14-16%)

  • AI-Native ART Cadence, Learning, and Outcome Delivery

  • AI-Native ART Events and Team Alignment

  • PI Outcome Planning vs. Deliverable-Based Planning

Development and Innovation at Scale

(16-18%)

  • Investing in Curated Data Strategy

  • Intent, Specifications, and Context for Human and Agent Decision-Making

  • AI Innovation Pipeline and Rapid Experimentation

  • Pillars of AI Governance and Ethics

Navigating Change With AI-Native SAFe

(16-18%)

  • Scaling AI Adoption: Organizational Change and Transformation

  • Change Agent Skills for AI Adoption and System-of-Work Transformation

  • The AI-Native SAFe Implementation Roadmap and Critical Steps

  • Identifying Opportunities to Launch the First AI-Native ART

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