Preparing for Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric? This course gives you 335 original, scenario-based practice questions across 6 full-length exams — built to test the judgment the real exam demands, not memorized trivia.Most practice-test courses recycle definition questions. DP-700 doesn't work that way. The real exam asks you to decide: Dataflow Gen2 or notebook? Native table or OneLake shortcut? Why did that pipeline fail, and what fixes it without breaking incremental loads? This course trains exactly that skill.What's inside:Test 1 — Diagnostic Readiness Exam (50 questions): baseline your readiness and find weak domains before you invest study time.Test 2 — Implement & Manage Deep Dive (55 questions): workspace settings, lifecycle management, deployment pipelines, Git integration, security, governance, and orchestration.Test 3 — Ingest & Transform Deep Dive (55 questions): full and incremental loads, dimensional modeling, shortcuts, mirroring, PySpark/SQL/KQL transformations, and streaming ingestion.Test 4 — Monitor & Optimize Deep Dive (55 questions): monitoring, error diagnosis across pipelines, Dataflows, notebooks, Eventhouses and Eventstreams, plus Lakehouse, warehouse, Spark, and query optimization.Test 5 — Caselet Simulation Exam (60 questions): 12 realistic business caselets — mini consulting problems spanning retail, healthcare, IoT, finance, and more.Test 6 — Final Full Simulation (60 questions): exam-realistic blend across all domains as your final go/no-go check.Every single question includes:A detailed explanation of why the correct answer is correctWhy each incorrect option is wrong — so you learn from distractors, not just answers
What you'll learn
Understand key concepts of data engineering solutions using Microsoft Fabric
Apply knowledge in scenarios involving data flow, optimization, and transformations
Evaluate the effectiveness of different data engineering solutions based on case studies
Course objectives
Assess your readiness for the DP-700 exam through diagnostic testing
Deepen your understanding of workspace settings, lifecycle management, and deployment pipelines
Learn to monitor and optimize data flows and pipelines effectively