Exams

Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)

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:

  • 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

Important

This exam will be available in January 2024.

Tip

Part of the requirements for: Microsoft Certified: Fabric Analytics Engineer Associate

Related exams: none

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Schedule exam

  • DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)

    Languages: English

    Retirement date: none

    This exam will be available in January 2024. 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.

    Price based on the country or region in which the exam is proctored.

    for Implementing Analytics Solutions Using Microsoft Fabric (beta)

    All objectives of the exam are covered in depth so you'll be ready for any question on the exam.

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%)

Two ways to prepare

Items in this collection

  • Learning paths or modules are not yet available for this certification

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* Pricing does not reflect any promotional offers or reduced pricing for Microsoft Certified Trainers and Microsoft Partner Network program members. Pricing is subject to change without notice. Pricing does not include applicable taxes. Please confirm exact pricing with the exam provider before registering to take an exam.

** Complete this exam before the retirement date to ensure it is applied toward your certification. After the retirement date, please refer to the related certification for exam requirements.