What
You’ll Learn
You’ll Learn
- How to ingest and transform data using Microsoft Fabric Dataflows Gen2.
- How to design
- schedule
- and monitor analytics workflows with Fabric Pipelines.
- How to write and optimize SQL queries against Fabric lakehouses.
- How to author and run KQL queries for log‑style analysis in Fabric.
- How to deploy and manage semantic models for enterprise reporting.
Requirements
- Basic understanding of data analytics concepts and relational databases.
- Familiarity with SQL querying fundamentals.
- An active Azure subscription (free tier is sufficient for labs).
- No prior experience with Microsoft Fabric required—just willingness to learn.
Description
Get yourself ready to pass the DP-600 exam with our all‑in‑one practice test series designed for aspiring Fabric Analytics Engineers. Whether you’re starting from scratch or aiming to sharpen your skills, this course walks you through real‑exam style questions covering every DP‑600 objective, data preparation, semantic modeling, analytics pipelines, SQL, KQL, DAX, Dataflows, lakehouses, security, and performance tuning.
Each practice test simulates the actual exam format with multiple‑choice and multiple‑select questions, and every answer comes with a clear, step‑by‑step explanation so you understand the “why” behind each solution.
Track your progress with built‑in performance insights, revisit your weaker areas, and refine your test‑taking strategy so you walk into the exam room with total confidence. This course is perfect for BI developers, data engineers, and analytics professionals who want practical, real‑world practice before tackling DP-600T00-A.
Contents:
Test 1: Fundamentals and Core Components
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Introduction to Microsoft Fabric
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Fabric architecture and components overview.
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Dataflows, Pipelines, Notebooks: Introduction and use cases.
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Semantic models, data warehouses, and lakehouses: Basics.
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Data Preparation and Integration
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Creating and managing dataflows.
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Pipelines for orchestration.
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Data cleansing, transformation, and enrichment.
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Test 2: Semantic Models and Programming
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Semantic Models and Analytics Assets
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Building and managing semantic models.
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Developing data warehouses and lakehouses.
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End-to-end analytics pipelines using Fabric.
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Programming for Fabric Analytics
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Writing queries with SQL.
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Data exploration with KQL (Kusto Query Language).
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Implementing calculations with DAX (Data Analysis Expressions).
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Notebook creation and advanced analytics.
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Test 3: Data Modeling, Visualization, and Optimization
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Data Modeling and Visualization
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Best practices for data modeling.
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Connecting to visualization tools like Power BI.
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Optimizing models for performance and usability.
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Optimization and Performance Tuning
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Monitoring pipeline performance.
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Optimizing queries and transformations.
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Best practices for scalability and speed in large-scale solutions.
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Test 4: Security, Governance, and Real-World Scenarios
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Security and Governance
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Implementing data security and compliance.
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Managing roles, permissions, and data integrity.
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Auditing practices in Fabric.
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Real-World Scenarios and Use Cases
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Designing end-to-end pipelines.
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Building and deploying warehouses, lakehouses, and semantic models.
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Troubleshooting Fabric solutions.
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Test 5: Comprehensive Final Exam # Unofficial #
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DP-600 exam structure and strategies.
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Mixed practice questions from all topics for final preparation.
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Choice is yours, Well Done!
Who this course is for:
- Aspiring Microsoft Fabric Analytics Engineer Associate candidates preparing for DP‑600.
- Data professionals looking to upskill in Fabric Dataflows
- Pipelines
- SQL
- and KQL.
- BI developers and analysts migrating from other platforms to Microsoft Fabric.
- Anyone seeking hands‑on practice with real‑world Fabric scenarios before exam day.
