- A
Azure SQL Database
Why wrong: Azure SQL Database is a relational database service for OLTP workloads, not designed for real-time streaming ingestion.
- B
Azure Stream Analytics
Azure Stream Analytics is a real-time analytics service that can process streaming data with sub-second latency and output directly to Azure Synapse Analytics.
- C
Azure Data Factory
Why wrong: Azure Data Factory is a cloud-based ETL service for data movement and transformation at scale, but it is designed for batch processing, not real-time streaming with sub-5-second latency.
- D
Azure Databricks
Why wrong: Azure Databricks is an analytics platform optimized for Apache Spark, capable of streaming, but it introduces higher latency and complexity than needed for simple ingestion under 5 seconds.
Quick Answer
Azure Stream Analytics is the correct choice because it is designed for real-time stream processing, capable of ingesting high-velocity streaming sales events and outputting them to Azure Synapse Analytics with sub-second latency, which directly meets the requirement of less than 5 seconds of latency for the Power BI dashboard. This service specializes in processing continuous data flows—such as sales transactions or IoT telemetry—and can route the processed results directly into Synapse Analytics for immediate querying and visualization. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your understanding of which Azure service handles real-time data ingestion versus batch processing; a common trap is choosing Azure Data Factory, which is optimized for scheduled, batch-oriented data movement rather than sub-second streaming. To remember this, think of Stream Analytics as the “live wire” for streaming data—it’s the only native Azure service that combines real-time SQL-based processing with direct output to Synapse Analytics for dashboards needing instant updates.
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company runs a real-time dashboard in Power BI that displays sales data from Azure Synapse Analytics. The dashboard must show data with less than 5 seconds of latency. Which Azure service should be used to ingest streaming sales events into Azure Synapse Analytics?
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
Azure Stream Analytics
Azure Stream Analytics is the correct choice because it is designed for real-time stream processing, capable of ingesting high-velocity streaming sales events and outputting them to Azure Synapse Analytics with sub-second latency. This meets the requirement of less than 5 seconds of latency for the Power BI dashboard.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is a relational database service for OLTP workloads, not designed for real-time streaming ingestion.
- ✓
Azure Stream Analytics
Why this is correct
Azure Stream Analytics is a real-time analytics service that can process streaming data with sub-second latency and output directly to Azure Synapse Analytics.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Data Factory
Why it's wrong here
Azure Data Factory is a cloud-based ETL service for data movement and transformation at scale, but it is designed for batch processing, not real-time streaming with sub-5-second latency.
- ✗
Azure Databricks
Why it's wrong here
Azure Databricks is an analytics platform optimized for Apache Spark, capable of streaming, but it introduces higher latency and complexity than needed for simple ingestion under 5 seconds.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Data Factory (a batch ETL tool) with a real-time streaming service, or they assume Azure SQL Database can handle streaming ingestion, but neither supports the required sub-5-second latency for continuous data flow into Synapse Analytics.
Detailed technical explanation
How to think about this question
Azure Stream Analytics uses a SQL-like query language to process streaming data from sources like Event Hubs or IoT Hub, and it supports exactly-once delivery semantics to Azure Synapse via the Synapse SQL pool connector. Under the hood, it leverages a distributed, low-latency engine that can handle millions of events per second, making it ideal for real-time dashboards where latency must remain under 5 seconds. A real-world scenario is a retail company streaming point-of-sale transactions to update a live sales dashboard in Power BI without noticeable delay.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Stream Analytics — Azure Stream Analytics is the correct choice because it is designed for real-time stream processing, capable of ingesting high-velocity streaming sales events and outputting them to Azure Synapse Analytics with sub-second latency. This meets the requirement of less than 5 seconds of latency for the Power BI dashboard.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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