DP-600

Microsoft Microsoft Certified: Fabric Analytics Engineer Associate DP-600

Product Description

Exam Code:DP-600

Exam Name:Implementing Analytics Solutions Using Microsoft Fabric

Q&A:88 Q&As

Updated: 07-20-2024

Number:        

Exam DP-600: Microsoft Fabric Analytics Solutions" assesses proficiency in implementing advanced analytics solutions using Microsoft Fabric. Topics include data ingestion, processing, and visualization techniques within the Fabric ecosystem.

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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.
The role for the DP-600 exam involves transforming data into reusable analytics assets using Microsoft Fabric components, including Lakehouses, Data warehouses, Notebooks, Dataflows, Data pipelines, Semantic models, and Reports.
You implement analytics best practices in Fabric, including version control and deployment.
As a Fabric analytics engineer implementing solutions, you collaborate with roles such as solution architects, data engineers, data scientists, AI engineers, database administrators, and Power BI data analysts.
Implementing Analytics Solutions Using Microsoft Fabric requires experience with the Fabric platform, data modeling, data transformation, Git-based source control, exploratory analytics, and languages such as SQL, DAX, and PySpark.

Schedule exam

Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)
The DP-600 exam, titled "Implementing Analytics Solutions Using Microsoft Fabric," is currently available in English with no set retirement date.
his 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%)

Ways to prepare

Ingest data with Microsoft Fabric
Implement a Lakehouse with Microsoft Fabric
Implement a data warehouse with Microsoft Fabric
Work with semantic models in Microsoft Fabric
Design and build tabular models
Manage the analytics development lifecycle

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

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