Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft Certified: Fabric Analytics Engineer Associate

Table of Contents

Passed

Today I took and passed DP-600 obtaining the Fabric Analytics Engineer Associate accreditation.

Exam DP-600

This exam measures your ability to accomplish the following technical tasks: plan, implement, and manage a solution for data analytics; prepare and serve data; implement and manage semantic models; and explore and analyze data.

Skills measured

  • 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%)

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

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

Links

  • You can view the latest details on the certification here.
  • You can view the latest details of the exam here here.
  • You can view my certificate here.

My certification profiles

  • You can find a complete list of my certifications here.
  • More details on my Microsoft Certifications can be found on my Microsoft Learn profile.
Tags :

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