Here’s a breakdown of how you can gain expertise and certifications in Databricks on Azure:

Databricks Certifications

• Databricks Certified Associate Developer for Apache Spark: Validates your core knowledge of Databricks, Apache Spark fundamentals, and development skills (Python, SQL, etc.).
• Databricks Certified Professional Developer for Apache Spark:  A more advanced certification demonstrating expertise in complex Spark development and optimization on Databricks.
• Databricks Lakehouse Platform Fundamentals: Assess your understanding of the Lakehouse architecture and its implementation on Databricks.
• Databricks on Azure: Tests your knowledge of configuring, deploying, securing, and integrating Azure Databricks with other Azure services.

Microsoft Azure Certifications

• Azure Data Fundamentals (DP-900):  Foundational knowledge of core data concepts and Azure data services.
• Azure Data Engineer Associate (DP-203):  Demonstrates expertise in designing and implementing data solutions on Azure, likely including Azure Databricks.

How to Prepare

1. Databricks Academy: Offers free and paid courses, learning paths, and resources. 
2. Many online platforms like Unogeeks Online Training Institute:https://unogeeks.com/data-bricks-training/
3. Practice Exams: Find practice exams for the certifications you are aiming for.
4. Hands-on Experience: The best way to learn is by building projects, solving problems, and working with Azure Databricks in real-world scenarios.

Beyond Certifications

• Community Resources: Engage with Databricks and Azure communities for additional learning and support.
• Cloud-Specific Knowledge: While the Databricks certifications cover cloud integration concepts, consider deepening your Azure knowledge to excel fully in Azure Databricks deployments.