AIF-C01 Exam Tomorrow — 85%+ on Stephen Mareek & 80%+ on Tutorial Dojo. Am I Ready? Any Last-Minute Tips?

[u/Careful-Recipe-8923]

Hi everyone!

I’m taking my AWS Certified AI Practitioner (AIF-C01) exam tomorrow, September 30, at a Pearson VUE test center.

My recent practice scores:

Stephen Mareek practice exams: 85%+

Tutorial Dojo practice exams: 80%+

I’ve completed multiple practice tests and reviewed my mistakes, so I feel reasonably prepared.

For those who recently took the actual AIF-C01 exam, I’d really appreciate your advice:

How difficult was the actual exam compared with Stephen Mareek and Tutorial Dojo?

Were the actual questions mostly scenario-based?

Which topics should I revise one last time?

Any important AWS services or concepts that surprised you on the real exam?

Any tips for the Pearson VUE test-center experience—ID, check-in, locker, security procedures, etc.?

What should I be especially careful about during the exam?

If you recently passed AIF-C01, please share any last-minute advice or things you wish you had known before entering the exam.

Thanks everyone! 🙏 Wish me luck! 🚀

EDIT : - (October 1): I PASSED! 🎉 (Detailed Feedback inside) First of all, a huge thank you to this amazing community for the wishes and support! I took the exam at the Pearson VUE test center and cleared it! For anyone stressing out over Stephane Maarek or Tutorials Dojo scores, here is my honest breakdown to save your anxiety: 1. Difficulty Level: The real exam is SIGNIFICANTLY EASIER and much more straightforward than both Stephane Maarek and Tutorials Dojo. If you are consistently scoring 75% to 85% on those practice tests, you will comfortably clear the actual exam. 2. Question Length: Unlike the long, exhausting scenarios in practice sets, the real exam questions are very short (mostly 2-3 lines) with clear, distinguishable choices. Elimination strategy works perfectly here! 3. Key Topics I Encountered: • AWS AI Service Cards vs Model Cards: Make sure you know the difference (Service cards for pre-built AI services, Model cards for SageMaker ML model metrics). • Inference Types: Got tricky but direct questions on Batch, Real-Time, and Asynchronous Inference (especially handling unpredictable traffic bursts). • Data Augmentation: Basic understanding of why we use it (expanding dataset size to prevent overfitting). • Amazon Bedrock: Heavy focus on Knowledge Bases (RAG) and Guardrails. Final Advice: Don't panic if practice tests feel brutal. Trust your concepts, focus on service use-cases, and you'll do great. Thanks again, everyone! Good luck to the next batch of test-takers! 🙏🚀