Most SOA-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 6 SOA-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 SOA-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.
Get full access →
Real SOA-C02 students. Real first attempts.
"CloudWatch Metrics vs. CloudWatch Logs is a distinction the SOA exam tests in troubleshooting scenarios throughout.Edureify AI's operational diagnosis scenarios required me to select the right monitoring tool based on whether the question was about numerical performance data or text-based log events. That selection instinct removed a consistent source of wrong answers."
"The SOA exam's lab component caught me underprepared on my first attempt.Edureify AI's operational scenario practice built the hands-on instinct for the second attempt - not just knowing what to do, but knowing how to approach an unfamiliar operational task systematically."
"Auto Scaling policy selection - target tracking vs. step scaling vs. scheduled - is tested in terms of which fits the stated capacity pattern.Edureify AI's scaling scenario practice made target tracking the obvious default for most use cases while building the judgment to recognize when step scaling's precision is necessary."