Describe considerations for working with non-relational data on Azure →hardMultiple SelectObjective-mapped
DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
Which THREE of the following are valid considerations when choosing between Azure Blob Storage and Azure Data Lake Storage Gen2 for a big data analytics workload?
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
✓
ADLS Gen2 can be optimized for high-throughput analytics workloads
ADLS Gen2 supports a hierarchical namespace, POSIX-like permissions, and is cost-effective for both hot and cool tiers. Blob Storage lacks hierarchical namespace by default. Both support lifecycle management. ADLS Gen2 can be used with Blob APIs but also has additional features.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
ADLS Gen2 can be optimized for high-throughput analytics workloads
Why this is correct
ADLS Gen2 is engineered for high-throughput big data analytics: its ABFS driver and parallel I/O allow large files to be read at massive scale by engines like Spark and Hive. Because it is built on Blob Storage but adds a hierarchical file system, it can sustain sequential read throughput that flat Blob can struggle to match for analytic workloads.
- ✓
ADLS Gen2 supports a hierarchical namespace for folder-level organization
Why this is correct
The hierarchical namespace is a defining feature of ADLS Gen2, letting you organize data into nested directories rather than a flat container. This enables directory-level atomic rename/delete operations and gives folders real semantics, which Blob Storage lacks. Those folder boundaries also anchor access control and facilitate path-based data processing.
- ✗
Blob Storage provides POSIX-compliant access control lists (ACLs)
Why it's wrong here
POSIX-style ACLs, including user and group permissions, are available only when the hierarchical namespace is enabled—i.e., in ADLS Gen2, not in standard Blob Storage. Standard Blob Storage relies on account-level keys, shared access signatures, and Azure RBAC, but it does not expose POSIX ACLs or a file system model. So saying Blob Storage provides POSIX-compliant ACLs is incorrect.
- ✗
ADLS Gen2 cannot use Blob Storage APIs
Why it's wrong here
The statement is false because ADLS Gen2 shares the same underlying platform as Blob Storage; it supports the Blob REST API, Blob SDKs, and tools like AzCopy in addition to its native Data Lake Storage APIs. Blob-oriented tools and code can continue working against ADLS Gen2 endpoints. Therefore, ADLS Gen2 does not lose Blob API compatibility—it expands on it.
- ✓
Blob Storage supports lifecycle management policies
Why this is correct
Blob Storage supports lifecycle management policies that can automatically move blobs to cool, cold, or archive tiers and expire them based on age or last modification. This is a valid consideration when choosing a storage account because both Blob Storage and ADLS Gen2 inherit this capability, so cost management applies regardless. Lifecycle policies help control storage costs without manual intervention.
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 |
Go deeper
Related to this question
Learn chapter
Data Roles and Core Concepts
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
Key term
Blob storage
Blob storage is a cloud service for storing large amounts of unstructured data, such as text or binary data, like documents, images, and videos.
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