The answer is Azure Cache for Redis, which is the correct choice because it provides a fully managed, distributed in-memory caching service built on the open-source Redis engine, designed to store session state and cache frequently accessed database queries for ultra-low latency. By keeping data in memory rather than on disk, it dramatically reduces response times for applications that need to repeatedly fetch the same data, making it ideal for high-throughput scenarios. On the Microsoft Azure Fundamentals AZ-900 exam, this question tests your understanding of how Azure services improve application performance and scalability, often appearing in scenarios about reducing database load or speeding up web apps. A common trap is confusing Azure Cache for Redis with Azure SQL Database or Cosmos DB, but remember that caching is about temporary, fast storage of frequently used data, not persistent storage. Memory tip: think of “Redis” as “REad Data In-memory Speed” to recall its core purpose.
AZ-900 Describe Azure architecture and services Practice Question
This AZ-900 practice question tests your understanding of describe azure architecture and services. 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.
Which Azure service provides fully managed, distributed in-memory caching for data like session state and frequently accessed database queries?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Cache for Redis
Azure Cache for Redis is a fully managed, distributed in-memory caching service based on the open-source Redis engine. It is specifically designed to store session state and cache frequently accessed database queries, providing low-latency data access by keeping data in memory rather than on disk.
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.
✗
Azure Storage Table
Why it's wrong here
Table Storage is NoSQL key-value persistence on disk; Redis is an in-memory cache for sub-millisecond access.
✓
Azure Cache for Redis
Why this is correct
Azure Cache for Redis provides managed in-memory distributed caching for session state and frequently accessed data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Database In-Memory OLTP
Why it's wrong here
In-Memory OLTP accelerates SQL workloads internally; Redis is a standalone in-memory cache service.
✗
Azure CDN edge caching
Why it's wrong here
CDN caches static web content at edge locations; Redis caches application data in-memory.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure Cache for Redis with Azure SQL Database In-Memory OLTP, because both involve in-memory data, but In-Memory OLTP is a database engine feature for accelerating OLTP workloads, not a distributed caching service for session state or query results.
Detailed technical explanation
How to think about this question
Azure Cache for Redis supports multiple data structures (strings, hashes, lists, sets) and features like persistence, clustering, and geo-replication. Under the hood, it uses the Redis protocol (RESP) for communication, and in a real-world scenario, an e-commerce site might use it to store user shopping cart session data across multiple web servers, ensuring fast reads and writes without hitting the database on every request.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-900 question in full detail.
Describe Azure architecture and services — This question tests Describe Azure architecture and services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Cache for Redis — Azure Cache for Redis is a fully managed, distributed in-memory caching service based on the open-source Redis engine. It is specifically designed to store session state and cache frequently accessed database queries, providing low-latency data access by keeping data in memory rather than on disk.
What should I do if I get this AZ-900 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.
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Question Discussion
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