hardMultiple ChoiceObjective-mapped
DP-203 Hybrid ingestion for streaming and batch Practice Question
You are designing a data processing solution for a retail company. The solution must ingest streaming sales data from point-of-sale (POS) systems and batch uploads from stores that are offline. The total data volume is 5 TB daily. The solution must allow real-time dashboards and periodic batch processing. Which combination of services and ingestion patterns is most cost-effective and scalable?
⚠ Common exam trap
It's easy for candidates to assume IoT Hub is required for streaming data, but Event Hubs with Kafka protocol is more cost-effective and scalable for high-volume POS data, and they overlook Event Hubs Capture as a built-in mechanism for batch landing.
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
✓
Use Azure Event Hubs with Kafka protocol for all incoming data. Use Stream Analytics for real-time dashboards and Event Hubs Capture to land data in ADLS for batch processing
Azure Event Hubs with Kafka protocol provides a unified ingestion endpoint for both streaming POS data and batch offline uploads, eliminating the need for separate services. Stream Analytics enables real-time dashboards, while Event Hubs Capture automatically lands data into Azure Data Lake Storage for cost-effective batch processing, making this the most scalable and cost-effective solution for 5 TB daily.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure IoT Hub for POS streaming and Azure Blob Storage for offline store uploads, then process with Stream Analytics and Data Factory
Why it's wrong here
Two separate ingestion services increase management overhead and cost; IoT Hub is designed for device-to-cloud, not necessarily POS systems.
- ✗
Use Azure Data Lake Storage for all data, then use Azure Databricks structured streaming for real-time and batch
Why it's wrong here
ADLS is storage, not an ingestion service; Databricks structured streaming can read from ADLS but not directly ingest streaming data without a queue.
- ✗
Use Azure Stream Analytics directly on POS data and store offline uploads in Blob Storage, then batch process with U-SQL
Why it's wrong here
Stream Analytics cannot directly ingest from POS systems without a messaging layer; offline store uploads still need ingestion.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The DP-203 exam frequently reuses these exact scenarios with slightly different constraints.
✓Use Azure Event Hubs with Kafka protocol for all incoming data. Use Stream Analytics for real-time dashboards and Event Hubs Capture to land data in ADLS for batch processingCorrect answer▾
✗Use Azure IoT Hub for POS streaming and Azure Blob Storage for offline store uploads, then process with Stream Analytics and Data FactoryWrong answer — click to see why▾
Why this is wrong here
Two separate ingestion services increase management overhead and cost; IoT Hub is designed for device-to-cloud, not necessarily POS systems.
✗Use Azure Data Lake Storage for all data, then use Azure Databricks structured streaming for real-time and batchWrong answer — click to see why▾
Why this is wrong here
ADLS is storage, not an ingestion service; Databricks structured streaming can read from ADLS but not directly ingest streaming data without a queue.
✗Use Azure Stream Analytics directly on POS data and store offline uploads in Blob Storage, then batch process with U-SQLWrong answer — click to see why▾
Why this is wrong here
Stream Analytics cannot directly ingest from POS systems without a messaging layer; offline store uploads still need ingestion.
Analysis generated from the official DP-203blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Go deeper
Related to this question
About these practice questions
Courseiva writes every DP-203 question from scratch — 760 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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.