As a candidate for this certification, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
Your responsibilities for this role include transforming data into reusable analytics assets by using Microsoft Fabric components, such as:
- Lakehouses
- Data warehouses
- Notebooks
- Dataflows
- Data pipelines
- Semantic models
- Reports
You implement analytics best practices in Fabric, including version control and deployment.
To implement solutions as a Fabric analytics engineer, you partner with other roles, such as:
- Solution architects
- Data engineers
- Data scientists
- AI engineers
- Database administrators
- Power BI data analysts
Skills measured
- Plan, implement, and manage a solution for data analytics
- Prepare and serve data
- Implement and manage semantic models
- Explore and analyze data
Prerequisites
In addition to in-depth work with the Fabric platform, you need experience with:
- Data modeling
- Data transformation
- Git-based source control
- Exploratory analytics
- Languages, including Structured Query Language (SQL), Data Analysis Expressions (DAX), and PySpark
Recommended training for this certification
Exams
DP-600