- A
Azure Blob Storage (with flat namespace)
Why wrong: Standard Blob Storage does not support a hierarchical namespace or native POSIX ACLs, making it less suitable for Hadoop/Spark analytics that rely on directory structures.
- B
Azure Data Lake Storage Gen2
ADLS Gen2 combines Blob Storage with a hierarchical namespace and ACLs, enabling Hadoop-compatible access and high-performance analytics with Spark, Hive, and other tools.
- C
Azure NetApp Files
Why wrong: NetApp Files provides NFS and SMB file shares, but it is not designed for petabyte-scale data lakes and does not offer Blob API compatibility for analytics frameworks.
- D
Azure HPC Cache
Why wrong: HPC Cache is a caching service for high-performance computing, not a primary storage solution. It reduces latency but does not provide the namespace or ACL features required.
AZ-305 Design data storage solutions Practice Question
This AZ-305 practice question tests your understanding of design data storage solutions. 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.
A company is building a petabyte-scale data lake for analytics. They need a storage solution that supports a hierarchical namespace, POSIX-like permissions (ACLs), and is optimized for big data analytics workloads using Apache Spark and Hive. The data must be accessible over the Azure Blob Storage API. Which Azure data service should they use?
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 Data Lake Storage Gen2
Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines a hierarchical namespace with POSIX-like ACLs and is natively optimized for big data analytics workloads like Apache Spark and Hive. It exposes data through the Azure Blob Storage API, meeting all stated requirements for petabyte-scale analytics.
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.
- ✗
Azure Blob Storage (with flat namespace)
Why it's wrong here
Standard Blob Storage does not support a hierarchical namespace or native POSIX ACLs, making it less suitable for Hadoop/Spark analytics that rely on directory structures.
- ✓
Azure Data Lake Storage Gen2
Why this is correct
ADLS Gen2 combines Blob Storage with a hierarchical namespace and ACLs, enabling Hadoop-compatible access and high-performance analytics with Spark, Hive, and other tools.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure NetApp Files
Why it's wrong here
NetApp Files provides NFS and SMB file shares, but it is not designed for petabyte-scale data lakes and does not offer Blob API compatibility for analytics frameworks.
- ✗
Azure HPC Cache
Why it's wrong here
HPC Cache is a caching service for high-performance computing, not a primary storage solution. It reduces latency but does not provide the namespace or ACL features required.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Blob Storage (which is object storage with a flat namespace) with ADLS Gen2, not realizing that the hierarchical namespace and POSIX ACLs are exclusive to ADLS Gen2 and critical for big data analytics engines like Spark and Hive.
Detailed technical explanation
How to think about this question
ADLS Gen2 implements a hierarchical namespace by extending Azure Blob Storage with a file system layer that supports atomic directory operations and POSIX ACLs (including default ACLs for inheritance). Under the hood, it uses a two-layer architecture: the Blob service for scalable object storage and a file system namespace managed by the Azure Storage resource provider, enabling O(1) directory renames and efficient parallel processing in Spark and Hive without the overhead of flat namespace enumeration.
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 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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AZ-305 question test?
Design data storage solutions — This question tests Design data storage solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Data Lake Storage Gen2 — Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines a hierarchical namespace with POSIX-like ACLs and is natively optimized for big data analytics workloads like Apache Spark and Hive. It exposes data through the Azure Blob Storage API, meeting all stated requirements for petabyte-scale analytics.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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