- A
A: Azure Stream Analytics
Why wrong: Stream Analytics excels at real-time processing and could create the dashboard, but it cannot perform complex ad-hoc T-SQL queries on historical data stored in Data Lake.
- B
B: Azure Data Lake Analytics
Why wrong: Data Lake Analytics uses U-SQL (a combination of SQL and C#) and does not support standard T-SQL queries, which the analysts require for ad-hoc reporting.
- C
C: Azure Synapse Analytics
Synapse Analytics provides a unified platform for real-time streaming ingestion, T-SQL querying over both streaming and historical data in Data Lake, and integration with Power BI for dashboards.
- D
D: Azure Analysis Services
Why wrong: Analysis Services is an OLAP engine that builds semantic models (cubes) from data, but it does not directly ingest streaming data or support ad-hoc T-SQL queries on raw data.
Quick Answer
The answer is Azure Synapse Analytics because it is the only Azure service that unifies real-time streaming and historical batch analytics within a single platform. For this logistics scenario, Synapse can ingest live GPS data from Event Hubs using its built-in Spark Structured Streaming or Synapse Pipelines, then immediately join that stream with historical route plan CSVs stored in Azure Data Lake Storage Gen2. Its dedicated SQL pool then enables complex T-SQL queries for ad-hoc reporting, while the integrated engine supports near real-time dashboarding. On the DP-900 exam, this question tests your understanding of Synapse as a converged analytics workspace, often contrasting it with services like Azure Stream Analytics (which lacks T-SQL ad-hoc querying) or Azure SQL Database (which lacks native streaming ingestion). A common trap is choosing Stream Analytics for the real-time piece alone, forgetting the requirement for complex T-SQL on combined datasets. Memory tip: think of Synapse as the “Swiss Army knife” for analytics—it handles streams, files, and SQL all in one place.
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 logistics company ingests real-time GPS data from delivery vehicles via Azure Event Hubs. The data includes vehicle ID, latitude, longitude, and timestamp. The company also has historical route plan data stored as CSV files in Azure Data Lake Storage Gen2. Data analysts need to combine the live stream with the historical data in near real-time to create a dashboard showing if vehicles are on schedule. They also need to run complex T-SQL queries on the combined dataset for ad-hoc reporting. Which Azure service should they use as the primary analytics platform?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"primary"Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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
C: Azure Synapse Analytics
Azure Synapse Analytics is the correct choice because it provides a unified analytics platform that can ingest real-time data from Azure Event Hubs via its built-in streaming capabilities (e.g., using Synapse Pipelines or Spark Structured Streaming) and combine it with historical data stored in Azure Data Lake Storage Gen2. It supports complex T-SQL queries through its dedicated SQL pool (formerly SQL Data Warehouse) for ad-hoc reporting, enabling near real-time dashboards and interactive analytics on the combined dataset.
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 Stream Analytics
Why it's wrong here
Stream Analytics excels at real-time processing and could create the dashboard, but it cannot perform complex ad-hoc T-SQL queries on historical data stored in Data Lake.
- ✗
B: Azure Data Lake Analytics
Why it's wrong here
Data Lake Analytics uses U-SQL (a combination of SQL and C#) and does not support standard T-SQL queries, which the analysts require for ad-hoc reporting.
- ✓
C: Azure Synapse Analytics
Why this is correct
Synapse Analytics provides a unified platform for real-time streaming ingestion, T-SQL querying over both streaming and historical data in Data Lake, and integration with Power BI for dashboards.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
D: Azure Analysis Services
Why it's wrong here
Analysis Services is an OLAP engine that builds semantic models (cubes) from data, but it does not directly ingest streaming data or support ad-hoc T-SQL queries on raw data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Stream Analytics as the primary analytics platform because it handles real-time streaming, but they overlook the requirement for complex T-SQL queries and ad-hoc reporting, which Stream Analytics cannot natively support, making Azure Synapse Analytics the correct unified solution.
Detailed technical explanation
How to think about this question
Azure Synapse Analytics unifies big data and data warehousing by providing both serverless and dedicated SQL pools, enabling T-SQL queries over data in Data Lake Storage Gen2 using PolyBase or CETAS (Create External Table As Select). Its integration with Event Hubs via Synapse Pipelines or Spark Structured Streaming allows real-time data ingestion into staging tables, which can then be joined with historical data for near real-time dashboards, while the dedicated SQL pool supports complex T-SQL queries with MPP (Massively Parallel Processing) architecture for high-performance ad-hoc reporting.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: C: Azure Synapse Analytics — Azure Synapse Analytics is the correct choice because it provides a unified analytics platform that can ingest real-time data from Azure Event Hubs via its built-in streaming capabilities (e.g., using Synapse Pipelines or Spark Structured Streaming) and combine it with historical data stored in Azure Data Lake Storage Gen2. It supports complex T-SQL queries through its dedicated SQL pool (formerly SQL Data Warehouse) for ad-hoc reporting, enabling near real-time dashboards and interactive analytics on the combined dataset.
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: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 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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