DP-700 Ingest and Transform Data Practice Question
Which Fabric feature allows you to monitor the status and history of your data pipeline runs?
⚠ Common exam trap
Candidates often confuse the Monitoring Hub with individual workspace settings or pipeline canvas logs, failing to realize the Hub provides the centralized, cross-pipeline view required for monitoring.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Fabric Monitoring Hub.
The Monitoring Hub in Fabric provides a centralized view of all pipeline runs, including status, duration, and error logs. It is the primary tool for administrators and engineers to troubleshoot failed jobs, monitor performance, and track the history of data movement. Having this visibility is crucial for maintaining a reliable data platform, as it allows for proactive detection and quick resolution of pipeline failures or performance bottlenecks in your environment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Power BI Desktop.
Why it's wrong here
Power BI Desktop is a visualization tool for creating reports and dashboards. It is not designed for monitoring system pipelines or data ingestion tasks. It has no access to the underlying pipeline run history or error logs, making it useless for administrative tasks related to data engineering.
- ✓
Fabric Monitoring Hub.
Why this is correct
The Monitoring Hub is the dedicated control center in Fabric for tracking the execution of all items, including pipelines. It provides comprehensive visibility into run history, success/failure status, and detailed logs, which are essential for debugging and performance tuning of your automated data integration processes.
- ✗
Microsoft Purview.
Why it's wrong here
Purview is for data governance, classification, and lineage. While it can show you where data comes from, it does not provide the execution-level monitoring of your pipelines. It is not the right tool for inspecting why a specific pipeline run failed or for checking current pipeline statuses.
- ✗
Data Warehouse SQL Query Editor.
Why it's wrong here
The SQL Query Editor is for running queries against warehouse tables. It does not contain any functionality related to the pipeline orchestration engine or execution metadata. It cannot show you run history, error messages, or the status of your data ingestion activities in the Fabric environment.
About these practice questions
This DP-700 question is part of Courseiva's 152-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-700 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-700 exam.