AZ-204 Develop for Azure storage Practice Question
You are developing an application that stores user-uploaded profile pictures in Azure Blob Storage. Users frequently access these pictures for the first 7 days after upload, then rarely. To minimize costs, you need to automatically delete pictures that are older than 30 days. Which Azure Storage feature should you use to achieve this?
⚠ Common exam trap
Many candidates confuse soft delete (which retains deleted blobs) with automatic deletion, or think change feed or snapshots can trigger deletions, when only lifecycle management provides scheduled, rule-based expiration.
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
✓
Lifecycle management policy
Azure Blob Storage lifecycle management policies allow you to automatically tier or expire blobs based on age. By defining a rule that deletes blobs after 30 days from creation, you can remove old profile pictures without manual intervention, directly minimizing storage costs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Lifecycle management policy
Why this is correct
Azure Blob Storage lifecycle management policies enable defining rules to automatically transition blobs between access tiers or delete them after a specified period. These policies are configured at the storage account level, allowing users to set conditions based on blob age, last modified time, or creation time. For instance, a rule can be established to automatically delete profile pictures (blobs) that are older than 30 days, directly fulfilling the requirement for automated data retention and cleanup. This optimizes storage costs and ensures compliance with data retention policies.
- ✗
Blob snapshots
Why it's wrong here
Blob snapshots create a read-only version of a blob at a specific point in time, primarily used for backup and recovery purposes. While snapshots preserve data, they are not designed to automate the deletion of the *original* blob or the snapshots themselves based on age without manual intervention or external automation. They capture a blob's state, but do not implement a lifecycle management strategy for the primary blob's retention or deletion.
- ✗
Change feed
Why it's wrong here
The Azure Blob Storage change feed provides a durable, ordered, read-only log of all changes that occur to blobs within a storage account, such as creation, modification, or deletion. Its primary purpose is to enable event-driven architectures and data replication scenarios by allowing applications to consume these change events. However, the change feed itself is a *notification mechanism* and does not possess the capability to automatically initiate or enforce lifecycle actions, such as deleting blobs older than a certain age.
- ✗
Soft delete
Why it's wrong here
Azure Blob Storage soft delete provides data protection by retaining deleted or overwritten blobs for a specified retention period, allowing for their recovery. When soft delete is enabled, a deleted blob transitions to a soft-deleted state rather than being permanently removed, protecting against accidental data loss. While it involves a retention period, its function is to *prevent* immediate permanent deletion, not to *automatically delete* blobs after a specific age as a proactive data lifecycle management strategy.
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
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