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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?

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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?

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 Stream Analytics for real-time processing and Azure Synapse Analytics for batch analytics

Stream Analytics handles real-time insights, Synapse Analytics handles large-scale batch queries.

B

Distractor review

Azure Data Factory for both real-time and batch processing

Data Factory orchestrates data movement and transformation, but it is not a real-time streaming service.

C

Distractor review

Azure Logic Apps for real-time processing and Azure Synapse Analytics for batch analytics

Logic Apps is for workflow automation, not suitable for high-throughput real-time data processing.

D

Distractor review

Azure Stream Analytics for both real-time and batch processing

Stream Analytics is real-time only; it cannot efficiently run daily batch reports on historical data.

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 Stream Analytics for real-time processing and Azure Synapse Analytics for batch analytics — This question tests understanding of the appropriate services for real-time and batch analytics workloads on Azure. Azure Stream Analytics is designed for real-time processing of streaming data, allowing immediate detection of fraud patterns. Azure Synapse Analytics (formerly SQL Data Warehouse) is a cloud-based data warehousing service optimized for running complex queries on large volumes of historical data. Together, they provide a complete analytics solution. Azure Data Factory is for orchestration, not real-time processing. Azure Logic Apps is for workflow automation. Azure SQL Database is a transactional database, not ideal for large-scale batch analytics. Azure Analysis Services is for semantic modeling, not data 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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