A global e-commerce platform uses a combination of relational and NoSQL databases. The order management system requires ACID transactions across multiple tables (Orders, OrderItems, Inventory). The product catalog uses a flexible schema to accommodate varying product attributes and is read-heavy. The session store requires low-latency key-value lookups with eventual consistency. Which of the following pairings of data stores best matches these 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.
Distractor review
Order management: Azure Cosmos DB (NoSQL API) - Product catalog: Azure SQL Database - Session store: Azure Table Storage
Cosmos DB (NoSQL API) does not inherently support multi-table ACID transactions across different containers (unless using transactional batch with limitations). Azure SQL Database is not ideal for a read-heavy, flexible-schema product catalog. Azure Table Storage provides key-value storage but with higher latency than a caching solution.
Best answer
Order management: Azure SQL Database - Product catalog: Azure Cosmos DB (NoSQL API) - Session store: Azure Cache for Redis
Azure SQL Database provides strong ACID transactions for orders. Cosmos DB with NoSQL API offers flexible schema and low-latency reads for the product catalog. Azure Cache for Redis delivers sub-millisecond key-value lookups ideal for session state with eventual consistency.
Distractor review
Order management: Azure Table Storage - Product catalog: Azure SQL Database - Session store: Azure Cosmos DB (NoSQL API)
Azure Table Storage does not support ACID transactions across multiple tables; it is a key-value store with limited consistency. Azure SQL Database is not optimal for a flexible-schema catalog. Cosmos DB can serve as a session store but its latencies are typically higher than a dedicated cache like Redis.
Distractor review
Order management: Azure Cosmos DB (Table API) - Product catalog: Azure Cache for Redis - Session store: Azure SQL Database
Cosmos DB Table API is a key-value/table store without multi-table ACID transactions. Azure Cache for Redis is an in-memory cache, not a persistent catalog store. Azure SQL Database is too slow and over-provisioned for a simple session key-value store.
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: Order management: Azure SQL Database - Product catalog: Azure Cosmos DB (NoSQL API) - Session store: Azure Cache for Redis — Order management needs strong consistency and ACID transactions. Azure SQL Database provides full ACID guarantees. The product catalog benefits from a flexible schema (like JSON documents) and reads can be scaled with Cosmos DB. The session store needs extremely fast key-value lookups; Azure Cache for Redis is a fully managed in-memory cache ideal for session storage. Option B correctly assigns each workload to the most appropriate Azure data store. The other options mix unsuitable stores for one or more workloads.
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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