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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 transportation company collects real-time GPS data from thousands of delivery vehicles. They need to process this streaming data to detect delays and generate alerts when a vehicle is behind schedule. Which Azure service should they use for the stream processing?
Why wrong: Azure Data Factory is an ETL and orchestration service for batch data pipelines, not suitable for real-time stream processing.
B
B. Azure Stream Analytics
Azure Stream Analytics is a fully managed service for real-time stream processing that can process millions of events per second and trigger alerts based on conditions.
C
C. Azure Data Lake Analytics
Why wrong: Azure Data Lake Analytics is a batch analytics service used for processing large volumes of data in U-SQL or other languages, not for real-time streaming.
D
D. Azure Analysis Services
Why wrong: Azure Analysis Services provides semantic modeling for business analytics and does not process streaming data in real time.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
B. Azure Stream Analytics
Azure Stream Analytics is the correct choice because it is a fully managed, real-time stream processing engine designed to handle high-velocity data from sources like IoT devices and GPS sensors. It can ingest streaming data from Azure Event Hubs or IoT Hub, apply SQL-based queries to detect patterns such as delays, and output alerts to sinks like Azure Functions or Power BI in near real-time.
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.
✗
A. Azure Data Factory
Why it's wrong here
Azure Data Factory is an ETL and orchestration service for batch data pipelines, not suitable for real-time stream processing.
✓
B. Azure Stream Analytics
Why this is correct
Azure Stream Analytics is a fully managed service for real-time stream processing that can process millions of events per second and trigger alerts based on conditions.
Related concept
Read the scenario before looking for a memorised answer.
✗
C. Azure Data Lake Analytics
Why it's wrong here
Azure Data Lake Analytics is a batch analytics service used for processing large volumes of data in U-SQL or other languages, not for real-time streaming.
✗
D. Azure Analysis Services
Why it's wrong here
Azure Analysis Services provides semantic modeling for business analytics and does not process streaming data in real time.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Data Factory's batch orchestration capabilities with real-time processing, or mistakenly think Azure Data Lake Analytics can handle streaming data because of its 'analytics' name, but neither supports continuous, low-latency stream processing.
Detailed technical explanation
How to think about this question
Azure Stream Analytics uses a temporal windowing mechanism (e.g., tumbling, hopping, or sliding windows) to aggregate and analyze streaming data over time intervals, enabling delay detection based on expected vs. actual GPS timestamps. Under the hood, it leverages a distributed SQL engine that partitions the input stream across compute nodes for scalability, and can achieve sub-second latency for alert generation when configured with low-latency output adapters. In a real-world scenario, the company would define a query that compares vehicle's current location timestamp against a scheduled route timetable, triggering an alert if the deviation exceeds a threshold.
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.
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: B. Azure Stream Analytics — Azure Stream Analytics is the correct choice because it is a fully managed, real-time stream processing engine designed to handle high-velocity data from sources like IoT devices and GPS sensors. It can ingest streaming data from Azure Event Hubs or IoT Hub, apply SQL-based queries to detect patterns such as delays, and output alerts to sinks like Azure Functions or Power BI in near real-time.
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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