Quick Answer
The answer is Azure Blob Storage with Azure CDN because this combination is specifically designed for storing large, unstructured data like media files and delivering them globally with low latency. Azure Blob Storage efficiently handles files from 500 MB to 2 GB, while Azure CDN caches the content at edge nodes worldwide, serving requests from the nearest point of presence to reduce latency. On the AZ-204 exam, this scenario tests your understanding of optimizing global media delivery by pairing a storage solution with a content delivery network, often appearing as a distractor where candidates mistakenly choose Azure Files or premium block blobs alone. A common trap is forgetting that CDN is required for global low-latency access, not just storage. Memory tip: think "Blob for bulk, CDN for speed" to remember that storage handles the files, and the CDN handles the global reach.
This AZ-204 practice question tests your understanding of develop for azure storage. 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 designing a solution to store and serve large media files (500 MB to 2 GB) to a global audience. The files must be accessible via HTTPS with low latency. Which Azure Storage option should you use?
Azure Blob Storage with Azure CDN
Blob Storage with CDN provides global low-latency access for large files.
Azure Queue Storage
Why wrong: Queue Storage is for messaging, not file storage.
Azure Files with SMB protocol
Why wrong: Azure Files is for SMB file shares, not optimized for large media serving.
Azure Table Storage
Why wrong: Table Storage is for NoSQL structured data, not large files.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Blob Storage with Azure CDN
Azure Blob Storage is optimized for storing large, unstructured data like media files, and integrating it with Azure CDN caches content at edge nodes worldwide, reducing latency for global users. HTTPS access is natively supported, and CDN ensures low-latency delivery by serving files from the nearest point of presence (PoP).
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Blob Storage with Azure CDN
Why this is correct
Blob Storage with CDN provides global low-latency access for large files.
Related concept
Read the scenario before looking for a memorised answer.
Azure Queue Storage
Why it's wrong here
Queue Storage is for messaging, not file storage.
Azure Files with SMB protocol
Why it's wrong here
Azure Files is for SMB file shares, not optimized for large media serving.
Azure Table Storage
Why it's wrong here
Table Storage is for NoSQL structured data, not large files.
Common exam traps
The trap here is that candidates may confuse Azure Files (which supports SMB and REST) as a viable option for global media delivery, but it lacks built-in CDN integration and is not designed for low-latency HTTPS serving to a global audience.
Detailed technical explanation
Azure CDN uses anycast routing to direct requests to the closest edge server, and when configured with Blob Storage as the origin, it can serve files via HTTPS with custom domain support. For files larger than 4 MB, CDN can use chunked transfer encoding to improve performance, and the storage account must be set to allow anonymous read access for the container or use SAS tokens for secure delivery.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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Develop for Azure storage — study guide chapter
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FAQ
Develop for Azure storage — This question tests Develop for Azure storage — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Blob Storage with Azure CDN — Azure Blob Storage is optimized for storing large, unstructured data like media files, and integrating it with Azure CDN caches content at edge nodes worldwide, reducing latency for global users. HTTPS access is natively supported, and CDN ensures low-latency delivery by serving files from the nearest point of presence (PoP).
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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
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 need to store a large number of small files (each < 100 KB) that will be accessed frequently from a web application. The files are static assets (CSS, JavaScript, images). Which Azure storage option provides the best performance for serving these files directly to users?
easyWhy B: Azure Blob Storage is optimized for storing large volumes of unstructured data, including small static files. By integrating Azure CDN, you cache these files at edge nodes closer to users, drastically reducing latency and offloading origin requests. This combination provides the best performance for frequently accessed static assets served directly to a web application's users.
Last reviewed: Jun 24, 2026
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