DP-700: Implementing Data Engineering Solutions on Microsoft Fabric
Engineer scalable cloud data architectures, real-time event streaming, Spark optimization, complex medallion pipelines, and data governance using Microsoft Fabric.
Official Exam Specification & Quick Facts
Question Difficulty Breakdown
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Exam Guidelines & Simulation Rules
Frequently Asked Questions (FAQ)
The DP-700 exam consists of 45-60 scenario, PySpark, real-time analytics, and Fabric architecture questions over 120 minutes. Cost is $165 USD with a passing score of 700/1000 (70%).
Domains include: (1) Ingest and transform data with Microsoft Fabric (~30-35%), (2) Design and build scalable data models and medallion architectures (~25-30%), (3) Implement real-time intelligence and streaming solutions (~20-25%), and (4) Monitor, secure, and optimize data engineering solutions (~15-20%).
The Medallion architecture organizes data into three refinement tiers: Bronze (raw ingested data), Silver (cleansed, deduplicated, enriched data), and Gold (curated business-level dimensional models optimized for reporting).
Real-Time Intelligence combines Eventstreams (high-throughput event ingestion) and KQL Databases (Azure Data Explorer engine) to process, filter, and query millions of real-time events per second with sub-second latency.
They provide declarative, scalable data pipeline automation with built-in quality validation, automatic checkpointing, and exactly-once processing guarantees for continuous data feeds.
Pipelines orchestrate control-flow activities, execute notebooks, and dispatch Dataflows, while Dataflow Gen2 performs visual data transformations and loads data directly into Lakehouse Delta tables.
OneLake security integrates Microsoft Entra ID role-based access control, workspace roles, item permissions, and granular OneLake data access security to govern Lakehouse tables.
Spark Job Definitions allow developers to submit compiled Scala, Java, or Python batch/streaming code directly to Fabric Apache Spark compute clusters without manual notebook interaction.
Executing the Delta `OPTIMIZE` command coalesces small Parquet files into optimal 1 GB files, dramatically improving read performance and reducing storage transaction counts.
Eventhouses host KQL databases tailored for real-time unstructured and time-series data, while KQL Querysets enable analysts to run fast exploratory queries using Kusto Query Language.
DP-700 is valid for one year and renewable annually for free via Microsoft Learn.
DP-700 certifies Lead Fabric Data Engineers, Real-Time Analytics Architects, and Enterprise Data Lakehouse Engineers earning average US salaries between $140,000 and $185,000.