Professional-level expertise in developing generative AI solutions, integrating foundation models, and building AI/ML applications on AWS. Professional
Fast-reference guide with bullet-point takeaways for rapid exam prep.
This is NOT:
This IS:
| Detail | Value |
|---|---|
| Scored questions | 65 |
| Unscored questions | 20 (not identified) |
| Total questions | 85 |
| Time limit | 170 minutes |
| Passing score | 750/1000 (scaled) |
| Question types | Multiple choice (1 correct), Multiple response (2+ correct) |
| Penalty for guessing | None - answer ALL questions |
| Exam level | Professional (not Practitioner/Associate) |
| Domain | Weight | ~Scored Questions | Priority |
|---|---|---|---|
| D1: Foundation Model Integration, Data Management & Compliance | 31% | ~20 | ๐ด Highest |
| D2: Implementation and Integration | 26% | ~17 | ๐ด High |
| D3: AI Safety, Security & Governance | 20% | ~13 | ๐ก Medium |
| D4: Operational Efficiency & Optimization | 12% | ~8 | ๐ข Lower |
| D5: Testing, Validation & Troubleshooting | 11% | ~7 | ๐ข Lower |
๐ D1 + D2 = 57% of the exam - Master these two domains first.
โ ๏ธ Professional-level exam: Expect complex multi-service scenarios, architecture trade-offs, and enterprise-scale considerations. This is NOT a definitions exam.
Start with Domain 1 or jump to your weakest area. Use 97_critical_topics for high-yield review.