Overview
Demonstrate expertise in integrating and modeling data, building and deploying optimised pipelines, and troubleshooting and maintaining workloads in Azure Databricks.
You should have subject matter expertise in integrating and modeling data, building and deploying optimised pipelines, and troubleshooting and maintaining workloads in Azure Databricks. You should also have experience applying data quality and data governance best practices in Unity Catalog.
You need to know how to ingest and transform data by using Structured Query Language (SQL) and Python. You need experience with software development lifecycle (SDLC) practices, including Git. Additionally, you should be familiar with Microsoft Entra, Azure Data Factory, and Azure Monitor.
Recommended approach:
Step 1: Review the skills and knowledge required to certify.
Step 2: Train for Microsoft Certified: Azure AI Engineer Associate certification exams.
Course: Microsoft DP-750T00 - Implement Data Engineering Solutions using Azure Databricks
Step 3: Schedule the DP-750 exam and get certified.
