The correct choice is Azure HDInsight with Hive and Azure Data Lake Storage Gen2 because ADLS Gen2 provides a hierarchical namespace that mirrors HDFS, allowing existing Parquet files to be mounted and queried directly with HiveQL without data movement or schema changes. This minimizes disruption by preserving the on-premises Hive table structure and query syntax, while leveraging Azure’s managed Hadoop ecosystem. On the DP-203 exam, this scenario tests your understanding of storage optimization for Hadoop migrations—a common trap is choosing Azure Blob Storage, which lacks the hierarchical namespace needed for efficient Hive operations. Remember the key differentiator: ADLS Gen2 is HDFS-aware, whereas Blob Storage is flat. Memory tip: “Gen2 for Hadoop, Blob for batch” — if the workload relies on directory structures and HiveQL, always pick ADLS Gen2.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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 migrating an on-premises Hadoop cluster to Azure. The cluster uses Hive tables stored as Parquet files on HDFS. They want to minimize changes to existing Hive queries and continue using HiveQL. Which Azure storage solution should they choose?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure HDInsight with Hive and Azure Data Lake Storage Gen2
Azure HDInsight with Hive and Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it provides a fully managed Hadoop service that supports HiveQL with minimal changes. ADLS Gen2 offers a hierarchical namespace and is optimized for Hadoop workloads, allowing the existing Parquet files on HDFS to be directly mounted and queried without data movement or schema changes.
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 HDInsight with Hive and Azure Data Lake Storage Gen2
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Database with PolyBase
Why it's wrong here
PolyBase queries external data but uses T-SQL; not HiveQL.
✗
Azure Databricks with Delta Lake
Why it's wrong here
Delta Lake can read Parquet but Hive queries would require changes; not a direct Hive replacement.
✗
Azure Synapse Analytics with external tables
Why it's wrong here
Synapse uses T-SQL, not HiveQL; requires query modification.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'supporting HiveQL' with 'running Hive on any Azure service,' but only HDInsight provides the native Hive runtime and HDFS-compatible storage (ADLS Gen2) needed to run existing HiveQL queries unchanged.
Detailed technical explanation
How to think about this question
ADLS Gen2 combines Azure Blob Storage with a hierarchical namespace, enabling Hadoop-compatible access via the ABFS (Azure Blob File System) driver. This allows Hive on HDInsight to read Parquet files directly from ADLS Gen2 using the same HiveQL syntax, as the storage layer is abstracted by the Hadoop FileSystem API. A key subtlety is that ADLS Gen2 supports POSIX-like permissions and atomic directory operations, which are critical for Hive's metadata operations and avoid the performance pitfalls of flat namespace blob stores.
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-203 question in full detail.
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure HDInsight with Hive and Azure Data Lake Storage Gen2 — Azure HDInsight with Hive and Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it provides a fully managed Hadoop service that supports HiveQL with minimal changes. ADLS Gen2 offers a hierarchical namespace and is optimized for Hadoop workloads, allowing the existing Parquet files on HDFS to be directly mounted and queried without data movement or schema changes.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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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