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Describe an analytics workload on AzuremediumMultiple ChoiceObjective-mapped

Power BI Streaming Dataset for Real-Time Dashboards from Azure Event Hubs

A data analyst needs to create a real-time dashboard in Power BI that displays streaming data from Azure Event Hubs. The data must be refreshed every second. Which Power BI feature should they use?

Quick Answer

The answer is the Power BI streaming dataset. This feature is the correct choice because it is purpose-built for ingesting and visualizing real-time data with sub-second latency, directly integrating with Azure Event Hubs to refresh dashboards every second without relying on scheduled or query-based refreshes. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your understanding of the difference between streaming datasets, push datasets, and import modes—a common trap is confusing streaming datasets with push datasets, but remember that streaming datasets are the only option that supports automatic, continuous refresh from Event Hubs. A helpful memory tip: think of “streaming” as a live video feed, while “push” is like sending a photo album—both deliver data, but only streaming keeps the picture moving in real time.

⚠ Common exam trap

Many candidates confuse DirectQuery with real-time capabilities, but DirectQuery is not designed for sub-second streaming updates and relies on query execution latency, whereas streaming datasets use a push-based model for true real-time refresh.

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

Streaming dataset

A is correct because Power BI's streaming dataset feature is specifically designed to handle real-time data ingestion and visualization with sub-second latency. It supports direct integration with Azure Event Hubs, allowing the dashboard to refresh every second without the need for scheduled refresh or query-based retrieval.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Streaming dataset

    Why this is correct

    Supports real-time data ingestion at sub-second intervals.

  • Import mode with scheduled refresh

    Why it's wrong here

    Limited to scheduled intervals, not real-time every second.

  • DirectQuery

    Why it's wrong here

    Not designed for high-frequency streaming scenarios.

  • Power BI Dataflows

    Why it's wrong here

    Used for ETL, not real-time dashboard streaming.

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Same concept, more angles

1 more way this is tested on DP-900

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A data analyst needs to create a real-time dashboard in Power BI that refreshes every second from an Azure Stream Analytics job. Which Power BI feature should they use?

easy
  • A.Scheduled refresh
  • B.Streaming dataset
  • C.DirectQuery
  • D.Import mode

Why B: B is correct because a streaming dataset in Power BI is designed to ingest real-time data from sources like Azure Stream Analytics and automatically update visuals as new data arrives. This feature supports push-based updates at sub-second intervals, making it ideal for a dashboard that refreshes every second without requiring manual or scheduled refresh cycles.

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DP-900 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-900 exam.