Azure Data Lake Storage Gen2 is the correct choice because it is specifically designed to store massive volumes of raw data in its native format—such as CSV, JSON, or Parquet—without requiring any upfront transformation, and it fully supports schema-on-read, where the schema is applied only at query time by tools like Apache Spark or Azure Synapse SQL. This makes it ideal for data science exploration, where the structure of the data may not be known in advance. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your understanding of how ADLS Gen2 differs from traditional data warehouses or Azure SQL Database, which require schema-on-write. A common trap is choosing Azure Blob Storage, which lacks the hierarchical namespace and native analytics integration that enable efficient schema-on-read. Remember the key distinction: ADLS Gen2 is for raw, flexible exploration; think “Data Lake = Schema Later.”
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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 designing a data analytics solution. They need to store large volumes of raw data in its native format and support schema-on-read for data science exploration. Which storage technology should they use?
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 Azure Blob Storage's scalable object storage, allowing raw data to be stored in its native format (e.g., CSV, JSON, Parquet) without transformation. It supports schema-on-read, meaning the schema is applied at query time (e.g., via Apache Spark or Azure Synapse SQL), which is ideal for data science exploration where the data structure may not be predefined.
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 Data Lake Storage Gen2
Why this is correct
ADLS Gen2 is a scalable data lake that supports schema-on-read and stores raw data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Blob Storage
Why it's wrong here
Blob Storage is object storage but lacks the hierarchical namespace and analytics integration of ADLS Gen2.
✗
Azure Cosmos DB
Why it's wrong here
Cosmos DB is a transactional database, not a data lake.
✗
Azure SQL Database
Why it's wrong here
SQL Database requires schema-on-write, not suitable for raw data storage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Blob Storage with ADLS Gen2 because both store objects, but Blob Storage lacks the hierarchical namespace and native schema-on-read support required for data science exploration, making it unsuitable for this specific analytics workload.
Detailed technical explanation
How to think about this question
ADLS Gen2 uses a hierarchical namespace to organize files into directories, enabling POSIX-like access control (e.g., chmod, chown) and efficient rename/delete operations, which are critical for big data processing frameworks like Apache Hadoop and Spark. Under the hood, it stores data as blobs but exposes a file system abstraction via the ABFS (Azure Blob File System) driver, allowing tools like PolyBase or Azure Synapse to query data in place without moving it. A real-world scenario is a data lake storing terabytes of IoT sensor data in Parquet format, where data scientists use Spark SQL to infer schemas dynamically during exploratory analysis.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — 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 Azure Blob Storage's scalable object storage, allowing raw data to be stored in its native format (e.g., CSV, JSON, Parquet) without transformation. It supports schema-on-read, meaning the schema is applied at query time (e.g., via Apache Spark or Azure Synapse SQL), which is ideal for data science exploration where the data structure may not be predefined.
What should I do if I get this DP-900 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.
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Question Discussion
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