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GitHub GH-600 Exam Prep 2026 - Developing in Agentic AI Systems

Full-length, exam-style practice with an adaptive Gap Engine that drills the domains you keep missing — so you walk in when your readiness score says you're ready.

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01At a glance

The exam, in numbers.

practice questionsin the online bank
230
exam domainsin the official outline
6
minuteson the real exam
120

02Domain weights

Where the points are.

The top two domains carry 40% of the exam weight.

  1. 01Implement tool use and environment interaction22%
  2. 02Prepare agent architecture and SDLC processes18%
  3. 03Perform evaluation, error analysis, and tuning18%
  4. 04Orchestrate multi-agent coordination17%
  5. 05Manage memory, state, and execution13%
  6. 06Implement guardrails and accountability12%

03Inside

What you get

  • Full-length practice exams in the real exam format, timed like the test.
  • 230 practice questions — every one with a worked explanation of why the right answer is right and why each wrong answer is wrong.
  • An adaptive Gap Engine that keeps serving the domains you miss until they're not weak anymore.
  • A readiness score by domain, so you can see where to focus next (a study guide, not a pass prediction).
  • Kept current — when the exam changes, your online practice updates.

04How it works

One book.
A free online bank.

Buy the book, scan the printed code, and the online practice bank unlocks free — yours through every attempt. Practice until your readiness clears the target, then sit the exam once.

Start hereAlready have the book? Unlock your code

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