DP-203 Develop data processing Practice Question
Which THREE components are required to implement a real-time data processing solution using Azure Stream Analytics?
⚠ Common exam trap
Watch out — candidates often assume Power BI is a required output for real-time dashboards, but Stream Analytics can function without any visualization sink, and the exam focuses on the minimal required components: input, job with query, and output sink.
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
✓
An input source such as Azure Event Hubs or IoT Hub
Azure Stream Analytics requires a streaming input source to ingest real-time data. Azure Event Hubs and IoT Hub are the primary services that provide high-throughput, low-latency event ingestion, which Stream Analytics can consume via its built-in connector. Without a streaming input, the job cannot process real-time data.
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 as the output sink
Why it's wrong here
Power BI is an optional output; other sinks like SQL or Blob are possible.
- ✗
Azure Data Factory pipeline for orchestration
Why it's wrong here
Data Factory is not part of Stream Analytics; Stream Analytics runs independently.
- ✓
An input source such as Azure Event Hubs or IoT Hub
Why this is correct
Streaming input is required for real-time processing.
- ✓
An output sink such as Azure Synapse Analytics or Blob Storage
Why this is correct
Output is required to store or visualize processed data.
- ✓
A Stream Analytics job with a defined query
Why this is correct
The query defines the transformation logic.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 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-203 exam.