- A
Block blobs
Why wrong: Block blobs are optimized for uploading large objects and random access, not for frequent small appends. They incur higher overhead per write operation, making them less efficient for high-volume logging.
- B
Append blobs
Append blobs are specifically designed for append operations, providing high write throughput and low cost per write. They are ideal for streaming log data where new entries are continuously added.
- C
Page blobs
Why wrong: Page blobs are optimized for random read/write operations in 512-byte pages, typically used for virtual machine disks. They are not cost-effective for logging and do not support efficient append operations.
- D
Azure Files shares
Why wrong: Azure Files provides SMB file shares, not a blob type. While it can store logs, it lacks the write-optimized append semantics and is better suited for shared file access scenarios.
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 are developing an application that writes log entries to Azure Blob Storage. Each log entry is approximately 500 bytes, and you expect to generate millions of entries per day. The logs are rarely read, and when they are read, you need to retrieve ranges of logs sequentially. Which blob type should you use to minimize storage costs and maximize write throughput?
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.
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
Append blobs
Append blobs are optimized for append operations, making them ideal for write-heavy, sequential logging scenarios. Each append operation adds data to the end of the blob, achieving high write throughput without the overhead of managing block lists. Since logs are rarely read and accessed sequentially, append blobs minimize storage costs compared to block blobs (which require block management overhead) and page blobs (which are designed for random access and are more expensive).
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 blobs
Why it's wrong here
Block blobs are optimized for uploading large objects and random access, not for frequent small appends. They incur higher overhead per write operation, making them less efficient for high-volume logging.
- ✓
Append blobs
Why this is correct
Append blobs are specifically designed for append operations, providing high write throughput and low cost per write. They are ideal for streaming log data where new entries are continuously added.
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 blobs
Why it's wrong here
Page blobs are optimized for random read/write operations in 512-byte pages, typically used for virtual machine disks. They are not cost-effective for logging and do not support efficient append operations.
- ✗
Azure Files shares
Why it's wrong here
Azure Files provides SMB file shares, not a blob type. While it can store logs, it lacks the write-optimized append semantics and is better suited for shared file access scenarios.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose block blobs because they are the default and most familiar blob type, overlooking that append blobs are specifically designed for append-heavy workloads like logging and provide better write throughput without block management overhead.
Trap categories for this question
Scenario analysis trap
Azure Files provides SMB file shares, not a blob type. While it can store logs, it lacks the write-optimized append semantics and is better suited for shared file access scenarios.
Detailed technical explanation
How to think about this question
Append blobs use a single append block per write, automatically committing data without the need for explicit block list management, which reduces latency and increases throughput for sequential writes. Under the hood, append blobs support a maximum of 50,000 append blocks, each up to 4 MB, allowing millions of small log entries to be batched or appended individually. In real-world scenarios, this design enables logging systems like Azure Diagnostics to stream logs directly to append blobs with minimal overhead, while read operations can use blob range requests to fetch sequential log segments efficiently.
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.
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.
- →
Develop for Azure storage — study guide chapter
Learn the concepts, then practise the questions
- →
Develop for Azure storage practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this AZ-204 question test?
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: Append blobs — Append blobs are optimized for append operations, making them ideal for write-heavy, sequential logging scenarios. Each append operation adds data to the end of the blob, achieving high write throughput without the overhead of managing block lists. Since logs are rarely read and accessed sequentially, append blobs minimize storage costs compared to block blobs (which require block management overhead) and page blobs (which are designed for random access and are more expensive).
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.
About these practice questions
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Last reviewed: Jun 11, 2026
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