The answer is an output sink, a stream input, and an Azure Stream Analytics job. These three components are required because Azure Stream Analytics functions as a continuous query engine that must ingest real-time data from a streaming source, such as Azure Event Hubs or IoT Hub, process it through a job definition, and then deliver the results to a designated output sink like Azure Synapse Analytics or Power BI. Without the stream input, the service has no data to process; without the job, there is no transformation logic; and without the output sink, the processed results have no destination. On the DP-900 exam, this question tests your understanding of the fundamental pipeline architecture for real-time analytics, often appearing as a “choose three” item. A common trap is selecting a storage account as an input instead of a streaming source, but remember that Stream Analytics requires a live, ordered event stream, not a static file. Memory tip: think “in, through, out”—input, job, output.
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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Which THREE components are required to implement a real-time analytics solution using Azure Stream Analytics? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Stream input (e.g., Azure Event Hubs)
A stream input like Azure Event Hubs is required because Azure Stream Analytics processes data in real time from a streaming source. Event Hubs ingests millions of events per second, providing the low-latency, ordered event stream that Stream Analytics consumes via its input binding. Without a streaming source, the service cannot perform continuous, real-time analytics.
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.
✓
Stream input (e.g., Azure Event Hubs)
Why this is correct
A stream input is the source of real-time data for Stream Analytics.
Related concept
Read the scenario before looking for a memorised answer.
✗
Batch input (e.g., Azure Blob Storage)
Why it's wrong here
Batch inputs are optional and not required for real-time analytics; Stream Analytics focuses on streaming data.
✗
Machine learning model
Why it's wrong here
Machine learning models can be used in Stream Analytics but are not required for a basic real-time solution.
✓
Stream Analytics query
Why this is correct
The query defines the transformation logic on the streaming data.
Related concept
Read the scenario before looking for a memorised answer.
✓
Output sink (e.g., Azure Synapse Analytics)
Why this is correct
An output sink is where the processed results are written.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse optional components (like batch input for reference data or machine learning for advanced analytics) with mandatory ones, leading them to select B or C instead of recognizing that only stream input, the query, and an output sink form the core required triad.
Detailed technical explanation
How to think about this question
Under the hood, Azure Stream Analytics uses a temporal SQL-like query language to define windowed aggregations, joins, and filters on streaming data. The query is compiled into a distributed job that runs across multiple compute nodes, ensuring exactly-once event processing and sub-second latency. In a real-world scenario, a retail company might stream clickstream data from Event Hubs, join it with a static product catalog from Blob Storage, and output real-time sales dashboards to Power BI—all without needing a machine learning model.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
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: Stream input (e.g., Azure Event Hubs) — A stream input like Azure Event Hubs is required because Azure Stream Analytics processes data in real time from a streaming source. Event Hubs ingests millions of events per second, providing the low-latency, ordered event stream that Stream Analytics consumes via its input binding. Without a streaming source, the service cannot perform continuous, real-time analytics.
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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Question Discussion
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