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. A key principle to apply: azure Synapse Analytics unifies data warehousing and big data analytics.. 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 manufacturing company ingests real-time sensor data from factory equipment via Azure Event Hubs. The data is a continuous stream of measurements (sensorId, timestamp, value). Additionally, historical maintenance records are stored as CSV files in Azure Data Lake Storage Gen2. The operations team needs to join the streaming data with the historical records in near real-time to detect anomalies. They also need to run complex T-SQL queries on the combined dataset for ad-hoc analysis. 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.
Why wrong: Stream Analytics excels at real-time processing but does not support ad-hoc T-SQL queries or joining with historical data in a data lake directly.
B
Azure Synapse Analytics
Synapse Analytics unifies big data and data warehousing, enabling T-SQL queries on both streaming and batch data from Event Hubs and Data Lake Storage.
C
Azure Data Factory
Why wrong: Data Factory is an ETL and data integration service, not a query engine for ad-hoc analytics.
D
Azure HDInsight with Spark
Why wrong: HDInsight with Spark can process streaming and batch data, but uses Spark SQL (not T-SQL) and requires more operational overhead.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Synapse Analytics
Azure Synapse Analytics is the correct choice because it provides a unified analytics platform that can ingest real-time streaming data from Azure Event Hubs via its built-in pipeline or Spark Structured Streaming, and simultaneously query historical CSV files in Azure Data Lake Storage Gen2 using serverless SQL or dedicated SQL pools. This allows the operations team to join streaming and batch data in near real-time for anomaly detection, and also run complex T-SQL queries for ad-hoc analysis, all within a single service.
Key principle: Azure Synapse Analytics unifies data warehousing and big data analytics.
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
Why it's wrong here
Stream Analytics excels at real-time processing but does not support ad-hoc T-SQL queries or joining with historical data in a data lake directly.
✓
Azure Synapse Analytics
Why this is correct
Synapse Analytics unifies big data and data warehousing, enabling T-SQL queries on both streaming and batch data from Event Hubs and Data Lake Storage.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Azure Synapse Analytics unifies data warehousing and big data analytics.
✗
Azure Data Factory
Why it's wrong here
Data Factory is an ETL and data integration service, not a query engine for ad-hoc analytics.
✗
Azure HDInsight with Spark
Why it's wrong here
HDInsight with Spark can process streaming and batch data, but uses Spark SQL (not T-SQL) and requires more operational overhead.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Azure Stream Analytics because it handles streaming data, but they overlook the requirement for complex T-SQL ad-hoc queries, which Stream Analytics cannot support, while Azure Synapse Analytics provides both streaming ingestion and full T-SQL analytics in a single platform.
Detailed technical explanation
How to think about this question
Azure Synapse Analytics unifies big data and data warehousing by providing both serverless SQL on-demand and dedicated SQL pools, enabling T-SQL queries directly against data in Data Lake Storage Gen2 using the OPENROWSET function. For real-time streaming, Synapse pipelines can ingest from Event Hubs into a staging table or use Spark Structured Streaming with Delta Lake, allowing near real-time joins with historical data stored as Parquet or CSV. A subtle behavior is that serverless SQL can query CSV files with schema inference, but performance degrades with large datasets unless files are partitioned or converted to Parquet.
KKey Concepts to Remember
Azure Synapse Analytics unifies data warehousing and big data analytics.
It supports T-SQL queries over data stored in Azure Data Lake Storage Gen2.
Synapse Analytics can ingest and process real-time data streams from sources like Event Hubs.
It provides both serverless and dedicated SQL pool options for analytical workloads.
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
Azure Synapse Analytics unifies data warehousing and big data analytics.
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.
Review azure Synapse Analytics unifies data warehousing and big data analytics., then practise related DP-900 questions on the same topic to reinforce the concept.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Azure Synapse Analytics unifies data warehousing and big data analytics..
What is the correct answer to this question?
The correct answer is: Azure Synapse Analytics — Azure Synapse Analytics is the correct choice because it provides a unified analytics platform that can ingest real-time streaming data from Azure Event Hubs via its built-in pipeline or Spark Structured Streaming, and simultaneously query historical CSV files in Azure Data Lake Storage Gen2 using serverless SQL or dedicated SQL pools. This allows the operations team to join streaming and batch data in near real-time for anomaly detection, and also run complex T-SQL queries for ad-hoc analysis, all within a single service.
What should I do if I get this DP-900 question wrong?
Review azure Synapse Analytics unifies data warehousing and big data analytics., then practise related DP-900 questions on the same topic to reinforce the concept.
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?
Azure Synapse Analytics unifies data warehousing and big data analytics.
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.