The answer is Block Blob. This is the correct choice because block blobs are designed for high-throughput uploads using PutBlock and PutBlockList operations, allowing you to overwrite an entire file by uploading a new set of blocks without the sector-aligned constraints of page blobs, which significantly reduces write latency. For the Microsoft Azure Developer Associate AZ-204 exam, this question tests your understanding of Azure Blob Storage types and their optimal use cases, often appearing as a scenario where you must balance cost and performance for frequently overwritten files. A common trap is choosing page blobs because they support random writes, but remember that page blobs are intended for VHDs and require 512-byte alignment, making them slower and more expensive for full-file replacements. Memory tip: think “Block for bulk, Page for partition” — block blobs handle large, whole-file overwrites efficiently, while page blobs are for granular, sector-level access.
AZ-204 Develop for Azure storage Practice Question
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 need to store large binary files (up to 2 GB) that are frequently overwritten in place (entire file replaced). You want to minimize storage cost and write latency. Which Azure Blob Storage type should you use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Block Blobs allow you to upload large files in blocks and replace the entire blob by committing a new block list, providing low latency and cost efficiency.
B
Page Blob
Why wrong: Page Blobs are designed for random read/write patterns (e.g., VHDs) and are not cost-optimal for large file overwrites.
C
Append Blob
Why wrong: Append Blobs are optimized for append operations only; they do not support overwriting existing content efficiently.
D
Archive Blob
Why wrong: Archive Blob has the lowest storage cost but high retrieval latency (hours), making it unsuitable for frequent overwrites.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Block Blob
Block blobs are optimized for storing large binary files (up to ~4.75 TB) and support high-throughput uploads via PutBlock and PutBlockList operations. They allow overwriting an entire blob by uploading a new set of blocks, which minimizes write latency compared to page blobs that require sector-aligned writes. Block blobs also offer lower storage cost than page blobs, making them the best choice for frequently overwritten large files.
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.
✓
Block Blob
Why this is correct
Block Blobs allow you to upload large files in blocks and replace the entire blob by committing a new block list, providing low latency and cost efficiency.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Page Blob
Why it's wrong here
Page Blobs are designed for random read/write patterns (e.g., VHDs) and are not cost-optimal for large file overwrites.
✗
Append Blob
Why it's wrong here
Append Blobs are optimized for append operations only; they do not support overwriting existing content efficiently.
✗
Archive Blob
Why it's wrong here
Archive Blob has the lowest storage cost but high retrieval latency (hours), making it unsuitable for frequent overwrites.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'frequently overwritten' with 'random access' and choose Page Blob, forgetting that page blobs are optimized for small, random writes (like VHDs) and are more expensive, while block blobs are the correct choice for large file replacement with low latency and cost.
Detailed technical explanation
How to think about this question
Under the hood, block blobs use a block ID system where each block is up to 100 MB (or 4000 MiB with high-throughput block blob support), and the PutBlockList operation commits a new ordered list of blocks, effectively replacing the entire blob. This allows parallel upload of blocks to reduce latency, and the blob is only finalized on commit. In contrast, page blobs require writing to fixed 512-byte pages, which incurs overhead for large sequential writes. A real-world scenario is storing video files for editing, where block blobs enable fast upload of new versions without the cost of page blob storage.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
Develop for Azure storage — This question tests Develop for Azure storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Block Blob — Block blobs are optimized for storing large binary files (up to ~4.75 TB) and support high-throughput uploads via PutBlock and PutBlockList operations. They allow overwriting an entire blob by uploading a new set of blocks, which minimizes write latency compared to page blobs that require sector-aligned writes. Block blobs also offer lower storage cost than page blobs, making them the best choice for frequently overwritten large files.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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