DP-700 Exam: Microsoft Fabric Data Engineering Certification in 2025 – A Quick Guide
The DP-700 Exam has become a popular certification for candidates looking to develop data engineering skills in Microsoft Fabric.
Officially titled Microsoft Fabric Data Engineering Certification, this certification evaluates candidates’ ability to implement suitable data engineering and analysis solutions on Microsoft Fabric.
Let’s get started.
Table of content
- What Is DP-700: Microsoft Fabric Data Engineering Certification?
- Core Learning Areas of DP-700: Microsoft Fabric Data Engineer Certification
- Essential Fabric tools to clear DP - 700 Exam
- Who Must Take the DP-700: Microsoft Fabric Data Engineering Course?
- How to Study for DP-700: Microsoft Fabric Data Engineering Exam
- FAQ
What Is DP-700: Microsoft Fabric Data Engineering Certification?
The Microsoft Fabric data engineer certification is carried out to assess the candidate’s ability to execute data engineering solutions in Microsoft Fabric.
Microsoft Fabric is an AI-powered data management and analytics platform that offers a host of tools and cloud services to use data at every step of its lifecycle, such as:
- Data ingestion
- Data preparation
- Data storage
- Data analysis
- Data visualization
This Microsoft Fabric data engineer certification ensures that the candidates can use the platform, its tools, and functionalities well and help businesses leverage the platform to make informed decisions for their business growth.
Core Learning Areas of DP-700: Microsoft Fabric Data Engineer Certification
Although this Microsoft training and certification course focuses on diverse skill areas, the focus lies on three core areas:
| Implement & Manage an Analytics Solution ( ~ 15-20 Questions ) | Workspace Settings, Version Control & Deployment, Access Control, Data Governance, Orchestration |
| Ingest & Transform Data ( ~ 15-20 Questions ) | Data Ingestion, Full & Incremental Loading, Data Stores: Lakehouse, Data Warehouse, Data Transformation, Streaming Data |
| Monitor & Optimise an Analytics Solution ( ~ 15-20 Questions ) | Monitoring of Fabric Items, Error Handling, Optimizing Solutions in Fabric |
Note – There will be Total 50-60 Questions ( Including One Case Study of Around 10 Questions )
Essential Fabric tools to clear DP – 700 Exam
To Pass any Exam or Certification understanding the syllabus is the key to success.
Here are the Essential Fabric tools where you should put more emphasis as the majority of the Questions will be based on these tools.
We can divide these tools into 2 Categories.
- Data Movement & Transformation
- Data Stores
Data Movement & Transformation
Data Pipeline – It is a Low code tool which is similar to Azure Data Factory and it is used for Data Movement and Orchestration.
Data Flow Gen 2 – It is a UI based Low code tool that has a lot of data transformation capabilities.
Notebook – It is a code based tool which provides an interactive computing environment where users can create and share documents containing executable code, equations, visualizations, and descriptive text.
It supports multiple programming languages such as Python, R, and Scala, enabling users to write and run code seamlessly. Notebooks are commonly used for tasks like data ingestion, preparation, analysis, and various other data-related processes.
Eventstream – It is a Low code tool which is used to handle real-time streaming data.
Data Stores
Lakehouse – Microsoft Fabric Lakehouse is a data architecture platform designed to store, manage, and analyze both structured and unstructured data in one place.
It integrates the scalability of a data lake with the performance and structure of a data warehouse, offering a unified solution for data storage, management, and analytics.
Warehouse – It is a typical Microsoft SQL database and T SQL is used to operate this database.
This tool integrates well with data pipeline and Data Flow Gen 2.
Event House – It is a data architecture designed to handle the Real time streaming Data.
Also Read: Data Engineering with Microsoft Fabric: Designing, Building & Managing Data Systems
Who Must Take the DP-700: Microsoft Fabric Data Engineering Course?
Although there are numerous Microsoft certification courses, this one suits professionals working in any IT domain aspiring to get into data engineering.
Here are a few professionals who can benefit tremendously from undertaking this course:
- BI Developers
- ETL Developers
- Database Administrators
- QA Engineers
- AI and machine learning professionals
- IT Students and entry-level professionals
- Data warehouse developers and architects
- Aspiring Data Engineers
How to Study for DP-700: Microsoft Fabric Data Engineering Exam
We can divide the Syllabus into 5 Modules.
Module 1 – Ingesting data using Microsoft Fabric
Module 2 – Implementing a lakehouse using Microsoft Fabric
Module 3 – Implement Real-Time intelligence using Microsoft Fabric
Module 4 – Implement Data Warehouse using Microsoft Fabric
Module 5 – Manage a Microsoft Fabric Environment
The right learning materials and resources are vital to successfully taking the examination, just like other online data engineering courses.
Here are a few ways you can learn and better prepare for the exam:
1. Become A Member Of An Fabric Data Engineer Certification Course
The prime method to construct a fundamental understanding is by Enrolling into Prepzee Microsoft Fabric Data Engineer Course. This Program gives learners Live Training for Fabric DP 700 Certification & Job roles with multiple assignments and Projects.
2. Take Mock Tests
Success in exams demands thorough practice of simulated tests. Taking mock exams exposes you to the Microsoft Fabric Data Engineer Certification test structure along with its difficult characteristics. You can use PrepZee standard practice exams which will enhance your exam confidence.
3. Schedule an Exam
| Prior Certification | Not Required |
| Number of Questions | 50 – 60 |
| Passing Score | 700 |
| Duration of Exam | 100 Minutes |
| Cost | $165 |
| Validity of Certification | 12 Months |
FAQ
Your preparation time will depend on your experience with Microsoft Fabric and data engineering:
- Less than a month – If you have significant hands-on experience with Microsoft Fabric.
- 1 to 3 months – If you are already familiar with tools such as Azure Synapse or Databricks but new to Fabric.
Regular practice, practical application, and practice with mock questions can get you ready for the exam sooner.
If you are able to score well on practice tests consistently and can confidently answer most questions, you are likely ready for the test.
If you have completed all the hands-on labs, know the key concepts well, and performed well on practice questions, the study material provided should be sufficient for you to pass.
DP-700 is a moderately difficult exam, particularly for new candidates. It tests skills in real-time data ingestion, transformation, and analytics in Microsoft Fabric. Practical experience is the most important factor for passing.
DP-600 and DP-700 are both on Microsoft Fabric but for different job profiles:
- DP-600: Fabric Analytics Engineer Associate: It encompasses ingestion, transformation, storage, integration, and visualization of data in Fabric.
- Best for data analysts and engineers with prior knowledge of Azure.
- Key skills: Power BI, SQL, PySpark, DAX, and Power Query.
- DP-700: Fabric Data Engineer Associate: Data engineering skills, such as data loading, architecture, and orchestration.
- Best suited for data engineers and solution architects.
- Major skills: SQL, PySpark, KQL.
If you would like to know more about Fabric, select DP-600. If you would like to learn about data engineering, select DP-700.
DP certifications are Microsoft‘s data-related credentials. They are for those who use cloud-based data solutions in their jobs. Relational and non-relational databases, data management and processing are part of the certifications within the Azure ecosystem. DP certifications are perfect for beginners and career advances in cloud data roles. 7. What is the passing score for DP-700? You need to pass with at least 700 out of 1,000 (70%) to pass the DP-700 exam. 8. How is OneLake different from a typical Data Lake? OneLake, in Microsoft Fabric, is one data lake that brings multiple Microsoft services in harmony. By its “One Copy” approach, it minimizes data duplication. Legacy Data Lakes, on the other hand, (e.g., Azure Data Lake), concentrate on bulk storage and analytics with no integrated collaboration and integration capabilities.
Microsoft Fabric Data Engineer certification course is designed to enable professionals to learn data ingestion, transformation, orchestration, and governance in Microsoft Fabric. The course covers OneLake, Lakehouse, Data Pipelines, SQL Analytics, PySpark, and KQL to get ready for actual data engineering work.
Azure Synapse is primarily used for enterprise data warehousing and analytics for big data. Microsoft Fabric is a broader platform that brings together data engineering, analytics, governance, and AI insights in a single system. Fabric also introduces OneLake, a single data lake for simple storage and collaboration.
Absolutely! Microsoft Fabric is a game-changing data engineering solution, and the DP-700 certification guarantees your expertise in data platforms. This course enables you to gain skills in real-time analytics, cloud data management, and automation, making you an ideal candidate for:
- Cloud-based firms’ Data Engineer positions
- Microsoft Fabric Consultant for organizations utilizing Fabric.
- Azure Solutions Architect specializing in Fabric and Synapse.
Fabric is one data analytics platform among several that combines several Azure services:
- Fabric Lakehouse and Azure Data Lake: OneLake in Fabric is simpler to store and manage data compared to conventional Data Lakes.
- Fabric Pipelines and Azure Data Factory: Fabric Pipelines integrate seamlessly with OneLake and other Fabric services and simplify things.
- Fabric Real-Time Analytics versus Azure Synapse: Fabric makes it easier to collect, search, and analyze data in one place without needing extra Synapse components.
In order to make the best of the Microsoft Fabric Data Engineer course, you need to have:
- Basic information about SQL, Python, and data engineering principles.
- Azure Synapse, Data Factory, or Databricks knowledge is helpful but not necessary.
- Knowledge of ETL/ELT processes and data modeling concepts
- Fabric Architecture – OneLake, Workspaces, and Fabric products training.
- Data Ingestion – With Pipelines, Dataflows Gen2, and Notebooks
- Data Transformation – With SQL, PySpark, and Power Query
- Lakehouse and warehouses – Managing structured and unstructured data
- Real-Time Analytics – Leverage KQL to quickly query data
- Security & Governance – Using RBAC, compliance policies, and monitoring
Siddharth Sharma
