Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A manufacturing company needs to build an analytics solution for IoT sensor data. Thousands of devices send real-time temperature and vibration readings. The solution must: (1) ingest the streaming data reliably, (2) perform real-time aggregations (e.g., average temperature per device every minute), and (3) store the aggregated results in Azure Synapse Analytics for historical reporting and dashboards. Which combination of Azure services should be used?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Best answer
Azure Event Hubs -> Azure Stream Analytics -> Azure Synapse Analytics
Correct. Event Hubs ingests the streaming data, Stream Analytics performs real-time transformations and aggregations, and Synapse Analytics stores the results for historical analysis and BI reporting.
B
Distractor review
Azure IoT Hub -> Azure Data Factory -> Azure Cosmos DB
Incorrect. IoT Hub can ingest data, but Azure Data Factory is a batch orchestration service, not a real-time stream processor. Cosmos DB is a NoSQL database, not optimized for large-scale analytics queries like Synapse.
C
Distractor review
Azure Blob Storage -> Azure Databricks -> Azure SQL Database
Incorrect. Blob Storage is for batch files, not real-time streaming. Databricks can do streaming but requires more setup and is not as seamless as Stream Analytics for simple aggregations. Azure SQL Database is not designed for petabyte-scale analytics.
D
Distractor review
Azure Service Bus -> Azure Functions -> Azure Table Storage
Incorrect. Service Bus is a message broker for decoupling applications, not optimized for high-throughput event ingestion. Azure Functions can process messages but are not ideal for stateful streaming aggregations. Azure Table Storage is a NoSQL key-value store, not suitable for analytical queries.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related DP-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
A data engineer needs to process streaming data from IoT devices and store the results in Azure Data Lake Storage for long-term analytics. The data must be processed in near real-time to detect anomalies and trigger alerts. Which Azure service should the engineer use for stream processing?
Question 2
A data engineer needs to query data stored in CSV files in Azure Data Lake Storage Gen2 using T-SQL in Azure Synapse Analytics, without loading the data into the database. Which feature should they use?
Question 3
A data engineer needs to process raw clickstream data from multiple websites that is stored in Azure Blob Storage as JSON files. The processing must run automatically every hour, transform the data into a structured format for reporting, and handle schema changes in the source data without manual intervention. Which Azure service should be used?
Question 4
A data engineer is designing a data lake architecture in Azure. They plan to first ingest raw data from various sources into a landing zone in Azure Data Lake Storage Gen2. Then they will clean, validate, and deduplicate that data in a second zone. Finally, they will create aggregated, business-ready datasets in a third zone for analysts. This layered approach is known as which architecture?
Question 5
A data engineer needs to transform large datasets stored in Azure Data Lake Storage Gen2 using Python and Apache Spark. They want a serverless compute option that automatically scales and requires no cluster management. Which Azure service should they use?
Question 6
A company collects customer feedback forms. Each form contains always-present fields like CustomerID and SubmissionDate, but also a free-text Comments field and optional fields like Rating or ProductCategory that vary between forms. How should this data be classified?
FAQ
Questions learners often ask
What does this DP-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Azure Event Hubs -> Azure Stream Analytics -> Azure Synapse Analytics — For real-time streaming analytics, the typical pattern is to ingest events into Azure Event Hubs or IoT Hub, process the stream with Azure Stream Analytics (which supports window functions for aggregations), and output to Azure Synapse Analytics or other sinks for storage and reporting.
What should I do if I get this DP-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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