The answer is Azure Stream Analytics for real-time processing and Azure Synapse Analytics for batch analytics. This combination directly addresses the need to analyze sales transactions as they occur for fraud detection while also running daily batch reports on historical data, because Stream Analytics is purpose-built for low-latency event processing on streaming data, whereas Synapse Analytics provides a unified platform for large-scale batch queries and data warehousing. On the DP-900 exam, this scenario tests your understanding of how to pair real-time and batch analytics services, often appearing as a scenario-based question where a common trap is to choose a single service like Azure Data Lake Storage or Azure SQL Database, which lack native streaming capabilities. Remember the memory tip: “Stream for the stream, Synapse for the summary”—Stream Analytics handles the live data flow, while Synapse crunches the historical summaries.
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 retail company needs to analyze sales transactions as they occur to detect fraud patterns and immediately block suspicious orders. They also need to run daily batch reports on historical sales data. Which combination of Azure services should they use to meet both real-time and batch processing requirements?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "immediately / without restart"
Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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 for real-time processing and Azure Synapse Analytics for batch analytics
Azure Stream Analytics is purpose-built for real-time data streaming and can process sales transactions as they occur to detect fraud patterns and block suspicious orders immediately. Azure Synapse Analytics provides a unified analytics platform that can run large-scale batch queries on historical sales data for daily reports, making this combination ideal for both real-time and batch processing needs.
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 Stream Analytics for real-time processing and Azure Synapse Analytics for batch analytics
The clue word "immediately / without restart" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Data Factory for both real-time and batch processing
Why it's wrong here
Data Factory orchestrates data movement and transformation, but it is not a real-time streaming service.
✗
Azure Logic Apps for real-time processing and Azure Synapse Analytics for batch analytics
Why it's wrong here
Logic Apps is for workflow automation, not suitable for high-throughput real-time data processing.
✗
Azure Stream Analytics for both real-time and batch processing
Why it's wrong here
Stream Analytics is real-time only; it cannot efficiently run daily batch reports on historical data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Data Factory's orchestration capabilities with real-time processing, or assume that a single service like Stream Analytics can handle both streaming and batch analytics, when in fact each service is specialized for a distinct workload type.
Detailed technical explanation
How to think about this question
Azure Stream Analytics uses a SQL-like query language to process data from sources like Event Hubs or IoT Hub with sub-second latency, enabling real-time fraud detection. Azure Synapse Analytics leverages a distributed SQL engine (formerly SQL Data Warehouse) to run complex queries across petabytes of historical data, and it can integrate with Stream Analytics via output sinks for combined real-time and batch pipelines. In a real-world scenario, the streaming job could output flagged transactions to a fraud database while also landing raw data into Azure Data Lake Storage for nightly Synapse batch processing.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: Azure Stream Analytics for real-time processing and Azure Synapse Analytics for batch analytics — Azure Stream Analytics is purpose-built for real-time data streaming and can process sales transactions as they occur to detect fraud patterns and block suspicious orders immediately. Azure Synapse Analytics provides a unified analytics platform that can run large-scale batch queries on historical sales data for daily reports, making this combination ideal for both real-time and batch processing needs.
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.
Are there clue words in this question I should notice?
Yes — watch for: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.