Microsoft

Microsoft Fabric Analytics Engineer Associate

Microsoft Fabric analytics, lakehouses, warehouses, semantic models, data pipelines, governance, and performance.

DP-600
60Official questions
100 minOfficial duration
70%Practice target

Exam coverage

Skills you will practice

    Practice exam

    Build your session

    Quick start
    Custom setup
    Questions10
    160
    Timer30 min
    Off100 min

    Difficulty

    How to use this practice bank

    Start with mixed, untimed sessions to identify weak areas. Then use focused difficulty sessions and gradually increase the question count and timer until you can sustain the pace of the official exam.

    2026 Exam Guide

    Microsoft Fabric Analytics Engineer Associate Study Guide

    Current exam coverage, candidate guidance, important topics, and practical preparation advice for the DP-600 exam.

    What Is Microsoft Fabric Analytics Engineer Associate?

    Microsoft Fabric Analytics Engineer Associate is earned through DP-600. It validates the ability to design, build, and optimize analytics solutions with Microsoft Fabric, including lakehouses, warehouses, semantic models, pipelines, security, governance, and performance.

    In 2026, candidates should understand Fabric workspaces, OneLake, Lakehouse, Warehouse, Data Factory experiences, Power BI semantic models, Direct Lake, dataflows, notebooks, governance, lineage, and optimization. The exam emphasizes end-to-end analytics engineering decisions.

    Who Should Take This Exam?

    DP-600 is suitable for analytics engineers, data engineers, BI developers, Fabric practitioners, and Power BI professionals moving into enterprise analytics architecture.

    Candidates should understand data modeling, SQL, Power BI concepts, data pipelines, security, and performance tuning. Hands-on Fabric experience is strongly recommended.

    Exam Domains

    Plan, Implement, and Manage Fabric Solutions

    Core

    Workspaces, capacity, governance, security, deployment, and lifecycle.

    Prepare and Serve Data

    Core

    Lakehouses, warehouses, pipelines, dataflows, notebooks, and transformations.

    Implement and Manage Semantic Models

    Core

    Model design, DAX, Direct Lake, refresh, relationships, and optimization.

    Explore and Analyze Data

    Core

    Reporting, analysis, lineage, monitoring, and performance troubleshooting.

    Common Topics Covered

    • Microsoft Fabric
    • OneLake
    • Lakehouse
    • Warehouse
    • Data pipelines
    • Dataflows
    • Notebooks
    • Direct Lake
    • Semantic models
    • Governance

    Study Tips

    Compare Fabric items by purpose. Lakehouses, warehouses, dataflows, pipelines, notebooks, and semantic models each solve different parts of the analytics workflow.

    Review security and performance. Workspace roles, item permissions, endorsement, lineage, refresh, Direct Lake behavior, and model design often determine the best answer.

    Practice Questions Overview

    Certoga's DP-600 questions help candidates practice Fabric architecture, data preparation, semantic modeling, governance, and analytics engineering decisions.

    DP-600 Practice Exam & 2026 Study Guide | Certoga