Microsoft DP-700: Data Engineering MS Fabric Practice Test

Post published:27 November, 2025
Post category:StudyBullet-22
Reading time:3 mins read

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Course Overview
- Prepares comprehensively for the Microsoft DP-700: Administering Microsoft Azure Data Solutions certification.
- Validates expertise in data engineering within the unified Microsoft Fabric platform.
- Simulates exam scenarios on data loading, orchestration, security, and optimization in Fabric.
- Features content updated to reflect the latest Fabric features and DP-700 syllabus (May 2025 update).
- Assesses proficiency across critical Fabric components: Lakehouse, Data Warehouse, Data Factory.
- Reinforces application of SQL, PySpark, and KQL for Fabric data engineering tasks.
- Identifies knowledge gaps, aiding in targeted study and boosting exam confidence.
- Familiarizes learners with Microsoft’s certification exam format and question types.
Requirements / Prerequisites
- Familiarity with fundamental cloud computing concepts, preferably Azure.
- Basic understanding of relational databases and SQL query language.
- Conceptual knowledge of ETL/ELT processes and data warehousing.
- An introductory grasp of data engineering workflows and pipelines.
- Exposure to basic programming logic, especially Python, for Spark-related topics.
- Commitment to achieving the Microsoft DP-700 certification.
Skills Covered / Tools Used
- Microsoft Fabric core items: Lakehouse, Data Warehouse, KQL Database, Eventstream.
- OneLake for unified data storage, including understanding shortcuts and access patterns.
- Data ingestion via Dataflows Gen2, Copy Activity, and managing Eventstream data.
- Data transformation using SQL in Fabric Data Warehouse and PySpark notebooks.
- Data orchestration with Data Factory pipelines, activities, and scheduling.
- Data security implementation: RLS, CLS, and Fabric RBAC.
- Data governance: Handling sensitive data, data lineage, and compliance features.
- Performance optimization: Query tuning, data partitioning, and resource management within Fabric.
- Monitoring and alerting using Fabric’s built-in monitoring hub and logging.
- Kusto Query Language (KQL) for real-time analytics on telemetry and log data.
- Implementing Medallion Architecture (Bronze, Silver, Gold) in Lakehouse environments.
- Managing Fabric capacities, compute, and workload management.
- Integrating Fabric with Azure services and external data sources.
- Understanding change data capture (CDC) and its application in Fabric solutions.
- Exploring data visualization with Power BI integration within Fabric.
Benefits / Outcomes
- Achieve high confidence in your ability to pass the Microsoft DP-700 certification exam.
- Deepen your practical knowledge of Microsoft Fabric data engineering capabilities and best practices.
- Gain a competitive edge in the job market with validated expertise in cutting-edge data platforms.
- Effectively design, implement, and manage scalable data solutions within the Fabric ecosystem.
- Master essential skills in data loading, transformation, orchestration, and security on a unified platform.
- Understand how to optimize performance and ensure data quality and governance for analytical workloads.
- Demonstrate proficiency in utilizing SQL, PySpark, and KQL for diverse data engineering tasks.
- Enhance your problem-solving abilities for real-world data challenges encountered in Microsoft Fabric.
- Develop a structured approach to troubleshooting and monitoring Fabric data pipelines.
- Become adept at leveraging OneLake and Lakehouse for modern data architecture implementations.
PROS
- Up-to-Date Content: Incorporates latest Microsoft Fabric features and DP-700 syllabus (May 2025).
- Comprehensive Coverage: Addresses all core DP-700 exam domains for thorough preparation.
- Realistic Simulation: Offers authentic experience of the actual certification exam environment.
- Skill Validation: Effectively identifies strengths and weaknesses for targeted study.
- Technology Focus: Strong emphasis on practical application of SQL, PySpark, KQL within Fabric.
CONS
- Practice Test Only: Lacks foundational instructional content or hands-on labs for initial learning.