Quick Answer
The answer is to use a separate storage account for log data. This works because each Azure Storage account has its own scalability limits—such as 20,000 requests per second for blob storage—and isolating high-volume write traffic into a dedicated account distributes the load across different endpoints, preventing a single account from hitting its throttling ceiling and causing HTTP 503 errors. On the AZ-204 exam, this scenario tests your understanding of Azure Storage scalability targets and the design pattern of workload isolation; a common trap is assuming you must modify application code or implement retry logic, but the question explicitly forbids code changes. Remember that storage accounts act as independent performance boundaries, so splitting noisy workloads like logging into their own account is a quick, code-free fix. Memory tip: “One account for business, one for logs” — separate the noise to avoid the 503.
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.
Your application writes millions of small log entries per hour to an Azure Storage account. You notice throttling errors (HTTP 503) during peak traffic. You need to minimize throttling without changing the application code. What should you do?
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.
Request a storage account limit increase from Azure Support
Why wrong: Storage account limits are fixed per subscription.
Use a separate storage account for log data
Separate accounts increase aggregate limits and reduce throttling.
Change the replication type to geo-redundant storage (GRS)
Why wrong: Replication type does not affect throttling.
Enable soft delete on the blob container
Why wrong: Soft delete does not affect throttling.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use a separate storage account for log data
Option B is correct because using a separate storage account for log data isolates the high-volume write traffic from other workloads, distributing the request load across different storage account endpoints. Azure Storage accounts have scalability targets (e.g., up to 20,000 requests per second per account for blob storage), and splitting logs into a dedicated account prevents hitting those limits, reducing HTTP 503 throttling errors without requiring code changes.
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.
Request a storage account limit increase from Azure Support
Why it's wrong here
Storage account limits are fixed per subscription.
Use a separate storage account for log data
Why this is correct
Separate accounts increase aggregate limits and reduce throttling.
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.
Change the replication type to geo-redundant storage (GRS)
Why it's wrong here
Replication type does not affect throttling.
Enable soft delete on the blob container
Why it's wrong here
Soft delete does not affect throttling.
Common exam traps
The trap here is that candidates may think throttling can be resolved by increasing limits or changing replication settings, but Azure's scalability targets are fixed per account, and the only way to increase throughput without code changes is to distribute the load across multiple storage accounts.
Detailed technical explanation
Azure Storage accounts have specific scalability targets per account type (e.g., Blob storage: up to 20,000 requests per second for a general-purpose v2 account). Throttling (HTTP 503) occurs when these limits are exceeded, often due to high-frequency writes like log entries. By distributing writes across multiple storage accounts, you effectively multiply the available request capacity, as each account operates independently with its own limits. This approach aligns with Azure's best practice of partitioning workloads to avoid hitting per-account bottlenecks.
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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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: Use a separate storage account for log data — Option B is correct because using a separate storage account for log data isolates the high-volume write traffic from other workloads, distributing the request load across different storage account endpoints. Azure Storage accounts have scalability targets (e.g., up to 20,000 requests per second per account for blob storage), and splitting logs into a dedicated account prevents hitting those limits, reducing HTTP 503 throttling errors without requiring code changes.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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