AZ-204 Develop for Azure storage Practice Question
You need to store a large (terabytes) append-only dataset for compliance purposes. The data must be immutable to prevent tampering after writes. You also want to minimize storage cost and achieve high write throughput. Which Azure Storage solution should you use?
⚠ Common exam trap
Test-takers frequently confuse Azure Data Lake Storage Gen2 (which is just Blob Storage with a hierarchical namespace) as having separate immutability features, but immutability is a Blob Storage capability that works identically on Data Lake Storage Gen2; however, the question's append-only requirement is best met by Append Blobs in standard Blob Storage, not by adding the hierarchical namespace overhead of Data Lake Storage Gen2.
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
✓
Azure Blob Storage with Append Blobs and an immutable blob policy
Azure Blob Storage with Append Blobs and an immutable blob policy is correct because Append Blobs are optimized for append-only operations (e.g., logging, audit trails) and support high write throughput. Immutable blob policies (WORM – Write Once, Read Many) enforce data immutability at the blob level, preventing modification or deletion during the retention period, which meets compliance requirements. This combination minimizes storage cost by using the cool or archive tier for Append Blobs, while still achieving the required write performance.
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 Blob Storage with Append Blobs and an immutable blob policy
Why this is correct
Azure Blob Storage with Append Blobs is specifically designed for efficient, cost-effective ingestion of log data and other append-only workloads, making it ideal for terabyte-scale datasets. An immutable blob policy, configured as a time-based retention or legal hold, ensures Write Once, Read Many (WORM) compliance by preventing any modification or deletion of data for a specified period, meeting stringent regulatory requirements.
- ✗
Azure Data Lake Storage Gen2 with Append Blobs and immutability
Why it's wrong here
While Azure Data Lake Storage Gen2 can store large datasets, its primary purpose is optimized for big data analytics workloads, leveraging a hierarchical namespace for Hadoop and Spark integration. Using it solely for append-only compliance storage introduces unnecessary complexity and higher costs compared to standard Blob Storage, as its advanced features are not utilized for this simple archival requirement.
- ✗
Azure Files with immutable shares
Why it's wrong here
Azure Files provides standard SMB/NFS file shares, which are not optimized for highly efficient, terabyte-scale append-only operations required for compliance logging. Although some immutability features exist for snapshots or specific tiers, Azure Files lacks a native, cost-effective Write Once, Read Many (WORM) capability designed for continuous, high-volume append streams, making it unsuitable for this specific use case.
- ✗
Azure NetApp Files with immutability
Why it's wrong here
Azure NetApp Files is a premium, high-performance file storage solution designed for demanding enterprise workloads requiring extremely low latency and high throughput, such as SAP HANA or HPC. Its significantly higher cost structure and lack of native, cost-effective WORM immutability for simple append-only data make it entirely unsuitable and cost-prohibitive for storing large, archival compliance datasets where performance is not the primary concern.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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