Home / Blueprint Change Tracker
Certification Blueprint Change Tracker 2026
Last updated: April 21, 2026
Designed by Priya Dw | Authored by experienced AI/ML architects | Reviewed by relevant and experienced tech panels
This tracker helps learners quickly see which certification areas need closer attention when exam objectives shift, retire, or expand. Use it alongside the linked practice exam pages to keep preparation aligned with the current exam focus.
Tracking Table
| Certification Area | Focus | Status | Recommended Action |
|---|---|---|---|
| Google Cloud | Data engineering, machine learning, and GenAI | Monitored | Review GCP practice exams |
| AWS | AI, machine learning, architecture, and security | Monitored | Review AWS practice exams |
| Azure | AI engineer pathways and applied services | Monitored | Review Azure practice exams |
| Databricks | Data engineering, lakehouse skills, and ML workflows | Monitored | Review Databricks practice exams |
| ISC2 and IAPP | Cloud security, governance, and responsible AI policy | Monitored | Review security and governance practice exams |
How To Use This Page
Start with the certification area closest to your target exam, then review the linked hub or dedicated exam page. If you are studying after a recent blueprint refresh, prioritize current objective coverage, scenario-based practice, and updated explanations over older memorization-only material.
This page is especially useful if you are deciding whether to continue an older study plan, switch to a replacement exam, or choose the most relevant practice tests for a new certification cycle.