greglab
← GregLab Exam Prep

Project history

Changelog

Meaningful improvements drawn from the project’s repository history.

  1. Added the AB-620 lane

    Published Microsoft Certified: AI Agent Builder Associate preparation as the fifteenth certification lane.

  2. Added the SC-200 lane

    Published Microsoft Certified: Security Operations Analyst Associate preparation as the fourteenth certification lane.

  3. Added the SC-900 lane

    Published Microsoft Certified: Security, Compliance, and Identity Fundamentals preparation as the thirteenth certification lane.

  4. Added the AZ-305 lane

    Published Microsoft Certified: Azure Solutions Architect Expert preparation as the twelfth certification lane.

  5. Added the DEA-C01 lane

    Published AWS Certified Data Engineer - Associate preparation as the eleventh certification lane.

  6. Added the SOA-C03 lane

    Published AWS Certified CloudOps Engineer - Associate preparation as the tenth certification lane.

  7. Added the DVA-C02 lane

    Published AWS Certified Developer - Associate preparation as the ninth certification lane.

  8. Added the AZ-900 lane

    Published Microsoft Certified: Azure Fundamentals preparation as the eighth certification lane.

  9. Added the AB-730 lane

    Published Microsoft Certified: AI Business Professional preparation as the seventh certification lane.

  10. Added the AZ-104 lane

    Published Microsoft Certified: Azure Administrator Associate preparation as the sixth certification lane.

  11. Added the SAA-C03 lane

    Published AWS Certified Solutions Architect - Associate preparation as the fifth certification lane.

  12. Added the CLF-C02 lane

    Published a dedicated AWS Certified Cloud Practitioner study lane.

  13. Became GregLab Exam Prep

    Moved production to examprep.greglab.net and added AB-900 as the first Microsoft certification lane.

  14. Added Amazon Nova coverage

    Expanded the model-family topic, related services, and practice questions.

  15. Added RAG evaluation metrics

    Introduced a dedicated topic and associated questions.

  16. Added model drift and monitoring

    Expanded operational ML coverage with a topic and practice set.