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AZ-204 Practice Question: Azure Cache for Redis for distributed session…
This AZ-204 practice question tests your understanding of azure cache for redis for distributed session…. 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. A key principle to apply: distributed session state. 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.
Users of a web application hosted on App Service are randomly signed out when the app is scaled out to three instances. Investigation shows that session data stored in in-process memory is not available when subsequent requests hit a different instance. What is the recommended solution?
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
Store session data in Azure Cache for Redis and configure all App Service instances to connect to the same Redis endpoint
Redis acts as a shared external session store. Each instance serializes the session to Redis on write and deserializes it on read. Because all instances point to the same Redis instance, any instance can serve any user's requests correctly, making the session store horizontally scalable and instance-independent.
B
Distractor review
Enable ARR affinity (sticky sessions) on the App Service to route each user's requests to the same instance
ARR affinity is a workaround that masks the problem without solving it. Sticky sessions break when an instance restarts or is removed during a scale-in event. They also create uneven load distribution, partially defeating the purpose of scaling out. Distributed session storage is the correct solution.
C
Distractor review
Write session data to Azure Blob Storage as a JSON file keyed by session ID on every request
Blob Storage works for session persistence but has higher latency than Redis (tens to hundreds of milliseconds per read/write vs microseconds). For high-traffic apps, this latency accumulates into noticeable response time degradation. Redis is optimized for this use case.
D
Distractor review
Store session state in a Cosmos DB container with a TTL equal to the session timeout
Cosmos DB can store session data but adds unnecessary cost and complexity compared to Redis. Redis is the industry standard for distributed caching and session state in .NET applications and is supported natively by the ASP.NET Core data protection and session middleware.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- distributed session state
- Azure Cache for Redis
- App Service scale-out
- sticky sessions vs distributed cache
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
distributed session state
Related practice questions
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Question 3
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Question 5
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Question 6
You are monitoring an Azure App Service using Application Insights. You notice that the server response time is high for certain requests. You need to drill down to see which external dependencies (like databases or APIs) are causing the delay. Which Application Insights feature should you use?
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FAQ
Questions learners often ask
What does this AZ-204 question test?
distributed session state
What is the correct answer to this question?
The correct answer is: Store session data in Azure Cache for Redis and configure all App Service instances to connect to the same Redis endpoint — In-process session state is local to each server instance. When an App Service scales out to multiple instances, requests are load-balanced across them, and a user's second request may land on an instance that has no knowledge of their first request's session. Azure Cache for Redis provides a shared, out-of-process session store that all instances connect to with the same connection string. The ASP.NET Core distributed session middleware serializes and stores session objects in Redis, making session data instance-agnostic.
What should I do if I get this AZ-204 question wrong?
Review distributed session state, then practise related AZ-204 questions on the same topic to reinforce the concept.
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