- A
Use Azure Table Storage for session state.
Why wrong: Table Storage is not designed for session state; it lacks built-in expiration and is slower.
- B
Use a SQL Database to store session data.
Why wrong: SQL works but introduces latency and cost; Redis is optimized for session state.
- C
Use the in-memory session state provider.
Why wrong: In-memory state is lost when the app restarts and is not shared across instances.
- D
Use Azure Redis Cache as a session state provider.
Redis provides fast, distributed, and persistent session storage.
Quick Answer
The correct choice is Azure Cache for Redis as the session state provider for Azure App Service. This is because Redis provides a distributed, in-memory data store that lives outside your application’s process, allowing session data to be shared seamlessly across multiple scaled-out instances and to survive any app restart or recycle. On the Microsoft Azure Developer Associate AZ-204 exam, this concept tests your understanding of state management in stateless PaaS environments—a common trap is choosing the in-memory or SQL Server providers, but those either lose data on restart or introduce latency and cost overhead. Remember that for high availability and scalability, you need an external store, and Redis is the recommended, production-ready solution. A quick memory tip: think “Redis for restarts and replicas”—it persists across both.
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. 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. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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.
You are developing an application that runs on Azure App Service. The application needs to store session state. The session state must be shared across multiple instances of the app and survive restarts. You need to choose a session state provider. What should you use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use Azure Redis Cache as a session state provider.
Azure Redis Cache provides a distributed, in-memory data store that can be shared across multiple instances of an App Service application and persists data through restarts. It is the recommended session state provider for Azure App Service when high availability and scalability are required, as it stores session data externally from the application's memory.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure Table Storage for session state.
Why it's wrong here
Table Storage is not designed for session state; it lacks built-in expiration and is slower.
- ✗
Use a SQL Database to store session data.
Why it's wrong here
SQL works but introduces latency and cost; Redis is optimized for session state.
- ✗
Use the in-memory session state provider.
Why it's wrong here
In-memory state is lost when the app restarts and is not shared across instances.
- ✓
Use Azure Redis Cache as a session state provider.
Why this is correct
Redis provides fast, distributed, and persistent session storage.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose the in-memory provider (Option C) because it is the simplest default in ASP.NET, forgetting that it fails the cross-instance sharing and restart survival requirements explicitly stated in the question.
Detailed technical explanation
How to think about this question
Azure Redis Cache implements the Redis protocol, which supports data structures like strings, hashes, and lists with built-in expiration (TTL) commands, making it ideal for session state that must be automatically invalidated. Under the hood, the Azure App Service session state provider for Redis uses the `Microsoft.Web.RedisSessionStateProvider` NuGet package, which serializes session data into Redis hashes and leverages Redis's replication and persistence features (RDB/AOF) to survive restarts. In a real-world scenario, if your app experiences a sudden traffic spike and scales to 10 instances, Redis ensures all instances read and write the same session data without any manual synchronization.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Develop Azure compute solutions — study guide chapter
Learn the concepts, then practise the questions
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FAQ
Questions learners often ask
What does this AZ-204 question test?
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure Redis Cache as a session state provider. — Azure Redis Cache provides a distributed, in-memory data store that can be shared across multiple instances of an App Service application and persists data through restarts. It is the recommended session state provider for Azure App Service when high availability and scalability are required, as it stores session data externally from the application's memory.
What should I do if I get this AZ-204 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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 →
Same concept, more angles
1 more ways this is tested on AZ-204
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are developing a web application that runs on Azure App Service. The application needs to store session state. Which Azure service provides the best performance and reliability for session state storage?
easy- A.Azure Table Storage
- B.Azure Blob Storage
- ✓ C.Azure Cache for Redis
- D.Azure SQL Database
Why C: Azure Cache for Redis provides the best performance and reliability for session state storage because it is an in-memory data store with sub-millisecond latency, designed for high-throughput, low-latency scenarios like session caching. It supports session state providers natively in ASP.NET and ASP.NET Core, ensuring fast reads and writes for each user request without the overhead of disk I/O or network latency associated with other storage options.
Keep practising
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Last reviewed: Jun 24, 2026
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