Most DVA-C02 candidates fail because they study the wrong domains. Our AI pinpoints exactly where you'll lose marks and fixes it - before you spend $150 on a failed exam.
Standard prep treats all 4 DVA-C02 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 time is wasted on material you already know.
Our AI doesn't just mark you wrong. It explains the manager-thinking logic behind every DVA-C02 answer - then adapts your next question to target the exact gap it just found.
All plans include the AI diagnostic, adaptive questions, and AI tutor. The difference is how much hand-holding you want.
| Feature | Edureify | Boson / Wiley | Books only |
|---|---|---|---|
| Domain diagnostic | ✓ | ✗ | ✗ |
| Adaptive 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 first.
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Real DVA-C02 students. Real first attempts.
"The SAM framework and CloudFormation relationship was something I understood theoretically but kept misapplying in scenarios.Edureify AI's serverless deployment scenarios - when SAM simplifies CloudFormation vs. when you need raw CloudFormation - built the practical distinction the exam tests."
"DynamoDB data modeling is fundamentally different from relational modeling.Edureify AI's access pattern-first design scenarios - model around your queries, not your entities - built the NoSQL mindset that the exam rewards rather than the relational instinct most developers bring."
"Lambda cold start implications for different use cases was tested more deeply than I expected.Edureify AI's serverless architecture scenarios - when cold starts matter and how to mitigate them - prepared me for questions about Lambda's production trade-offs rather than just its configuration."