Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A manufacturing company uses IoT sensors to collect temperature and vibration data from machinery. They need to analyze the streaming data in real time to detect anomalies and trigger alerts. Additionally, they need to run complex historical queries on months of sensor data to identify equipment failure patterns. They want a single Azure service that can handle both real-time stream processing and large-scale batch analytics using a unified query language, minimizing the need for separate technologies. Which Azure service should they use?
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
Distractor review
Azure Stream Analytics
Azure Stream Analytics is a real-time event processing engine but does not support complex batch queries on historical data. It would need to be combined with another service for batch analytics, which contradicts the requirement for a single service.
B
Distractor review
Azure Data Lake Storage Gen2
Azure Data Lake Storage Gen2 is a storage service, not a compute service. It provides a scalable data lake but requires separate compute (e.g., Azure Synapse or Azure Databricks) to perform analytics, so it does not meet the 'single service' requirement.
C
Best answer
Azure Synapse Analytics
Azure Synapse Analytics is a unified analytics platform that supports both real-time stream processing (via pipelines and Spark streaming) and batch analytics with T-SQL and Apache Spark, all within a single service. It provides a unified query language and minimizes architecture complexity.
D
Distractor review
Azure HDInsight
Azure HDInsight is a managed big data platform that supports various open-source frameworks like Hadoop, Spark, and Kafka. While it can handle both batch and streaming, it does not provide a single unified query language; it often requires using multiple components (e.g., Spark for streaming, Hive for batch) and more management effort.
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 Synapse Analytics — Azure Synapse Analytics is a unified analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It can ingest streaming data via Azure Event Hubs and Azure Stream Analytics, and also run batch queries on historical data using T-SQL or Apache Spark. This makes it the best choice for the scenario, avoiding the need for separate services for real-time and batch processing.
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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