Most AZ-305 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 AZ-305 exam prep treats all 5 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 AZ-305 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 AZ-305 students. Real first attempts.
"AZ-305 tests whether you can synthesize requirements into architectures, not just configure individual services.Edureify AI's multi-requirement scenarios - high availability AND cost optimization AND least operational overhead simultaneously - built the synthesis skill the expert exam demands."
"The HA vs. DR distinction is real and the exam tests it rigorously.Edureify AI's business continuity scenarios made the architectural difference precise: Availability Zones for HA within a region, Site Recovery for DR across regions. Those are fundamentally different tools for fundamentally different failure scenarios."
"Strangler Fig pattern for application modernization was the architectural pattern I'd heard of but never applied in a scenario.Edureify AI's modernization scenarios consistently showed incremental extraction as the risk-appropriate alternative to big-bang rewrites. That preference is exactly what AZ-305 rewards."