Use this quick start guide to collect all the information about Implementing Analytics Solutions Using Microsoft Fabric (DP-600) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DP-600 Implementing Analytics Solutions Using Microsoft Fabric exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft MCA Fabric Analytics Engineer certification exam.
The Implementing Analytics Solutions Using Microsoft Fabric certification is mainly targeted to those candidates who want to build their career in Microsoft Fabric domain. The Microsoft Certified - Fabric Analytics Engineer Associate exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft MCA Fabric Analytics Engineer.
Implementing Analytics Solutions Using Microsoft Fabric Exam Summary:
| Exam Name | Microsoft Certified - Fabric Analytics Engineer Associate |
| Exam Code | DP-600 |
| Exam Price | $165 (USD) |
| Duration | 120 mins |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Books / Training | DP-600T00-A: Microsoft Fabric Analytics Engineer |
| Schedule Exam | Pearson VUE |
| Sample Questions | Implementing Analytics Solutions Using Microsoft Fabric Sample Questions |
| Practice Exam | Microsoft DP-600 Certification Practice Exam |
Microsoft DP-600 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Maintain a data analytics solution (25-30%) |
|
| Implement security and governance |
- Implement workspace-level access controls - Implement item-level access controls - Implement row-level, column-level, object-level, and file-level access control - Apply sensitivity labels to items - Endorse items |
| Maintain the analytics development lifecycle |
- Configure version control for a workspace - Create and manage a Power BI Desktop project (.pbip) - Create and configure deployment pipelines - Perform impact analysis of downstream dependencies from lakehouses, data warehouses, dataflows, and semantic models - Deploy and manage semantic models by using the XMLA endpoint - Create and update reusable assets, including Power BI template (.pbit) files, Power BI data source (.pbids) files, and shared semantic models |
Prepare data (45-50%) |
|
| Get data |
- Create a data connection - Discover data by using OneLake data hub and real-time hub - Ingest or access data as needed - Choose between a lakehouse, warehouse, or eventhouse - Implement OneLake integration for eventhouse and semantic models |
| Transform data |
- Create views, functions, and stored procedures - Enrich data by adding new columns or tables - Implement a star schema for a lakehouse or warehouse - Denormalize data - Aggregate data - Merge or join data - Identify and resolve duplicate data, missing data, or null values - Convert column data types - Filter data |
| Query and analyze data |
- Select, filter, and aggregate data by using the Visual Query Editor - Select, filter, and aggregate data by using SQL - Select, filter, and aggregate data by using KQL |
Implement and manage semantic models (25-30%) |
|
| Design and build semantic models |
- Choose a storage mode - Implement a star schema for a semantic model - Implement relationships, such as bridge tables and many-to-many relationships - Write calculations that use DAX variables and functions, such as iterators, table filtering, windowing, and information functions - Implement calculation groups, dynamic format strings, and field parameters - Identify use cases for and configure large semantic model storage format - Design and build composite models |
| Optimize enterprise-scale semantic models |
- Implement performance improvements in queries and report visuals - Improve DAX performance - Configure Direct Lake, including default fallback and refresh behavior - Implement incremental refresh for semantic models |
To ensure success in Microsoft MCA Fabric Analytics Engineer certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Implementing Analytics Solutions Using Microsoft Fabric (DP-600) exam.