Most PL-300 candidates fail because they don’t know when they’re actually ready. Our AI continuously assesses your readiness through tutoring sessions and adaptive practice, updates your weak domains in real time, and adjusts your study roadmap until you're exam-ready.
Standard PL-300 exam prep treats all 4 domains equally. Our AI maps your real knowledge gaps on Day 1 and shows you the exact 2–3 domains costing you the exam — so no study time is wasted on material you already know.
Our AI doesn't just mark you wrong. It explains the manager-thinking logic behind every PL-300 answer — then adapts your next practice question to target the exact gap it just found.
All plans include the AI diagnostic, adaptive practice questions, and AI tutor. The difference is how much hand-holding you want.
| Feature | Edureify | Boson / Wiley | Books only |
|---|---|---|---|
| Domain diagnostic | ✓ | ✗ | ✗ |
| Adaptive practice questions (CAT format) | ✓ | Linear only | ✗ |
| AI tutor + explanations | ✓ | ✗ | ✗ |
| Personalised study plan | ✓ | ✗ | ✗ |
| "Not ready" exam alerts | ✓ | ✗ | ✗ |
| Pass guarantee | 30-day | ✗ | ✗ |
| First-attempt pass rate | 95% | ~52% | ~45% |
| Starting price | $49/mo or $199 | $129–$179 | $60–$120 |
95% of our students pass first attempt. The ones who don't are the ones who studied everything equally instead of fixing their actual gaps with targeted practice questions first.
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Real PL-300 students. Real first attempts.
"DAX filter context was the concept I understood in theory and kept getting wrong in practice.Edureify AI's CALCULATE scenarios - modifying filter context systematically - were what finally made it click. Theory tells you what it is; scenarios show you how it behaves."
"I was building wide flat tables instead of star schemas because it felt simpler.Edureify AI's data model scenarios showed consistently why that choice degrades DAX flexibility and query performance. After seeing the downstream consequences in enough scenarios, the star schema became the obvious choice."
"Row-level security is a deployment step most candidates treat as optional.Edureify AI's RLS scenarios - both static and dynamic using USERPRINCIPALNAME() - made it clear that publishing without RLS is a governance failure, not just a best practice violation."