As a candidate for this exam, 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:
- Data warehouses
- Data pipelines
- Semantic models
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
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
This exam will be available in January 2024.
Part of the requirements for: Microsoft Certified: Fabric Analytics Engineer Associate
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- Plan, implement, and manage a solution for data analytics (10–15%)
- Prepare and serve data (40–45%)
- Implement and manage semantic models (20–25%)
- Explore and analyze data (20–25%)
Two ways to prepare
This certification will be available in January 2024. As a Fabric analytics engineer associate, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
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