Build confidence in Microsoft Fabric data engineering with two independent practice sets containing 150 original questions. Each set has 75 single-answer multiple-choice questions and explanations for every answer option. The questions are independently authored for concept review; they are not actual, recalled, leaked, or copied certification exam questions.

This course follows the published DP-700 objectives scheduled to take effect on October 19, 2026. It is preparation for that upcoming scope, not a claim that those objectives are already effective. Check Microsoft’s official study guide for the objectives that apply on your exam date.

Each test contains 25 questions on implementing and managing an analytics solution, 25 on ingesting and transforming data, and 25 on monitoring and optimizing an analytics solution. Review workspace settings, access control, deployment, orchestration, batch and streaming ingestion, lakehouse and warehouse transformations, notebooks, pipelines, Dataflow Gen2, Eventstreams, and operational troubleshooting.

The explanations help you reason about data correctness, incremental processing, identities, resource usage, late events, and recovery. Use the first set to identify gaps, practice relevant tasks in a suitable Fabric environment, and then attempt the second set without relying on memorized answers. Review incorrect alternatives as carefully as correct ones.

Each test uses a 100-minute study limit, an 80% practice benchmark, and randomized question and answer order. These are course settings, not Microsoft’s scoring rules. This single-answer format is designed for concept review and does not reproduce the exact format, difficulty, or experience of the certification exam. No practice score guarantees a pass.

This course suits data engineers with basic SQL, data modeling, and cloud analytics knowledge. Hands-on exercises, videos, labs, and exam vouchers are not included. Cloudpuz Academy is an independent education provider and this course is not affiliated with or endorsed by Microsoft.