Microsoft Fabric Analytics Engineer (DP-600T00)
Training plan
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
- Explore end-to-end analytics with Microsoft Fabric
- Data teams and Microsoft Fabric
- Enable and use Microsoft Fabric
Module 2: Get started with lakehouses in Microsoft Fabric
- Explore the Microsoft Fabric lakehouse
- Work with Microsoft Fabric lakehouses
- Explore and transform data in a lakehouse
- Exercise – Create a Microsoft Fabric lakehouse
Module 3: Use Apache Spark in Microsoft Fabric
- Prepare to use Apache Spark
- Run Spark code
- Connect to data sources and ingest data
- Work with data in a Spark dataframe
- Work with data using Spark SQL
- Visualize data in a Spark notebook
- Exercise – Analyze data with Apache Spark
Module 4: Work with Delta Lake tables in Microsoft Fabric
- Understand Delta Lake
- Create delta tables
- Create delta tables
- Work with delta tables in Spark
- Use delta tables with streaming data
- Exercise – Use delta tables in Apache Spark
Module 5: Orchestrate processes and data movement with Microsoft Fabric
- Understand pipelines
- Use the Copy Data activity
- Use pipeline templates
- Run and monitor pipelines
- Exercise – Ingest data with a pipeline
Module 6: Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Understand Dataflows Gen2 in Microsoft Fabric
- Explore Dataflows Gen2 in Microsoft Fabric
- Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
- Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric
Module 7: Get started with data warehouses in Microsoft Fabric
- Understand data warehouse fundamentals
- Understand data warehouses in Fabric
- Query and transform data
- Prepare data for analysis and reporting
- Secure and monitor your data warehouse
- Exercise – Analyze data in a data warehouse
Module 8: Get started with Real-Time Intelligence in Microsoft Fabric
- Describe Microsoft Fabric Real-Time Intelligence?
- Understand KQL database and tables
- Describe Microsoft Fabric Real-Time hub
- Write queries with KQL
- Exercise: Explore Real-Time Intelligence in Fabric
Module 9: Get started with data science in Microsoft Fabric
- Understand the data science process
- Explore and process data with Microsoft Fabric
- Train and score models with Microsoft Fabric
- Exercise – Explore data science in Microsoft Fabric
Module 10: Get started with Data Activator in Microsoft Fabric
- Understand Data Activator
- Get started with Data Activator
- Understand triggers, conditions and actions in Data Activator
- Get data from Power BI Reports and EventStreams with Data Activator
- Assign data in Data Activator
- Create triggers in Data Activator
- Exercise – Use Data Activator in Fabric
Module 11: Administer a Microsoft Fabric environment
- Understand the Fabric Architecture
- Understand the Fabric administrator role
- Manage Fabric security
- Govern data in Fabric
Module 12: Get started with data warehouses in Microsoft Fabric
- Understand data warehouse fundamentals
- Understand data warehouses in Fabric
- Query and transform data
- Prepare data for analysis and reporting
- Secure and monitor your data warehouse
- Exercise – Analyze data in a data warehouse
Module 13: Load data into a Microsoft Fabric data warehouse
- Explore data load strategies
- Use data pipelines to load a warehouse
- Load data using T-SQL
- Load and transform data with Dataflow Gen2
- Exercise: Load data into a warehouse in Microsoft Fabric
Module 14: Query a data warehouse in Microsoft Fabric
- Query data
- Use the SQL query editor
- Explore the visual query editor
- Use client tools to query a warehouse
- Exercise: Query a data warehouse in Microsoft Fabric
Module 15: Monitor a Microsoft Fabric data warehouse
- Monitor capacity metrics
- Monitor current activity
- Monitor queries
- Exercise – Monitor a data warehouse in Microsoft Fabric
Module 16: Secure a Microsoft Fabric data warehouse
- Explore dynamic data masking
- Implement row-level security
- Implement column-level security
- Configure SQL granular permissions using T-SQL
- Exercise: Secure a warehouse in Microsoft Fabric
Module 17: Add measures to Power BI Desktop models
- Create simple measures
- Create compound measures
- Create quick measures
- Compare calculated columns with measures
- Exercise – Create DAX Calculations in Power BI Desktop
Module 18: Design scalable semantic models
- Choose the best storage mode
- Configure semantic models for large data
- Work with relationships
- Write DAX for readability with complex calculations
- Create dynamic calculation elements
- Exercise – Design a scalable semantic model
Module 19: Optimize a model for performance in Power BI
- Introduction to performance optimization
- Review performance of measures, relationships, and visuals
- Use variables to improve performance and troubleshootingReduce cardinality
- Optimize DirectQuery models with table level storage
- Create and manage aggregations
Module 20: Use tools to optimize Power BI performance
- Use Performance analyzer
- Troubleshoot DAX performance by using DAX Studio
- Optimize a data model by using Best Practice Analyzer
- Exercise: Use tools to optimize Power BI performance
Module 21: Create and manage Power BI assets
- Create reusable Power BI assets
- Manage development lifecycle for Power BI assets
- Use lineage view and endorse data assets
- Manage a Power BI semantic model using XMLA endpoint
- Exercise: Create reusable Power BI assets
Module 22: Enforce Power BI model security
- Restrict access to Power BI model data
- Restrict access to Power BI model objects
- Apply good modeling practices
- Exercise: Enforce model security
Module 23: Administer a Microsoft Fabric environment
- Understand the Fabric Architecture
- Understand the Fabric administrator role
- Manage Fabric security
- Govern data in Fabric
Module 24: Secure a Microsoft Fabric data warehouse
- Explore dynamic data masking
- Implement row-level security
- Implement column-level security
- Configure SQL granular permissions using T-SQL
- Exercise: Secure a warehouse in Microsoft Fabric
Module 25: Govern data in Microsoft Fabric with Purview
- Govern data in Microsoft Fabric
- Why use Microsoft Purview with Microsoft Fabric?
- Govern data in the Microsoft Purview hub
Recommended Prerequisite Knowledge
- Understanding of fundamental data analysis concepts, including data exploration, transformation, and modeling.
- Hands-on experience with Microsoft Power BI, particularly in report creation, DAX usage, and data modeling.
- Knowledge of basic SQL concepts, including queries, joins, and aggregations.
- Understanding of data warehousing principles, including star schemas and dimensions.
- Familiarity with Microsoft Azure cloud services, particularly data and analytics services.
- Experience with ETL/ELT processes and data pipelines.
- Understanding of data governance and security concepts.
- Recommended 2 years of experience in data analysis or similar role.
Credentials and certification
Exam features
- Code: DP-600
- Title: Microsoft Certified – Fabric Analytics Engineer Associate
- Duration: 120 minutes
- Number of Questions: 40 to 60
- Question Format: Multiple choice, multiple response, scenario-based
- Passing Score: 700 out of 1000
- Cost: $0 (included in your training)
Exam topics
- Maintain a data analytics solution
- Prepare data
Implement and manage - semantic models
Eccentrix Corner article/publication
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
The Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) certification is designed for data professionals, analysts, and engineers seeking to develop advanced data analytics skills using Microsoft Fabric. This program focuses on designing, implementing, and optimizing data pipelines while leveraging Fabric tools to deliver actionable insights.
Why Take This Training?
With the exponential growth of data, organizations need professionals capable of transforming data into actionable information. The DP-600 certification prepares you to meet this demand by mastering Microsoft Fabric, a powerful platform for data management, analysis, and integration.
This training enhances your analytical skills, optimizes your data management processes, and positions you as a key player in an organization’s data strategy.
Skills Developed During the Training
Creating and Managing Data Pipelines
Learn to configure high-performing data pipelines for efficient workflows.Optimizing Analytics
Utilize Microsoft Fabric tools to improve the accuracy and efficiency of analytics.Data Visualization and Presentation
Develop clear and impactful dashboards and visualizations to communicate insights effectively.Managing Data Sources
Integrate and connect diverse data sources for comprehensive analysis.Implementing Security and Governance Best Practices
Secure your data and ensure compliance with regulatory standards.Interdisciplinary Collaboration
Work with cross-functional teams to deliver analytics solutions aligned with business objectives.
Hands-On Training with Certified Experts
This training is led by Microsoft-certified instructors who balance theoretical knowledge with practical exercises. Participants will gain immediately applicable skills for professional projects.
Who Should Attend?
- Data analysts looking to strengthen their analytical skills
- Data engineers responsible for pipelines and integration
- Data architects involved in complex analytical projects
- Professionals aiming to earn the Fabric Analytics Engineer Associate certification
Become a Data Analytics Expert with Microsoft Fabric
The Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) certification prepares you to excel in data management and analysis. Enroll today to build critical skills and transform your data into business value.
Frequently asked questions - Fabric Analytics Engineer Associate (DP-600) training (FAQ)
What topics are covered in this training?
Data pipeline management, data analysis, and visualization optimization.
What tools will be used?
Microsoft Fabric and its integrated analytics features.
Does the training include hands-on exercises?
Yes, interactive exercises are provided to solidify learning.
Do I need prior experience with Microsoft Fabric?
A basic understanding of data concepts and analytical tools is recommended.
How can this certification enhance my career?
It validates your analytical engineering skills and boosts your career opportunities in the data field.
Are the concepts transferable to other platforms?
Yes, while the focus is on Microsoft Fabric, the principles can be applied to other analytical tools.
