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AZ-500 · Question #257

There is a team of developers and data scientists and you are a security administrator on that team. It is planned to use Azure Databricks to perform data analysis. You are tasked to design an…

The correct answer is B. Data Lake Storage Gen2. For Azure Databricks data analysis requiring a Hadoop-compatible file system, file-level ACLs, and SAS token support, Azure Data Lake Storage Gen2 is the appropriate storage solution.

Submitted by devops_kid· Mar 6, 2026Secure compute, storage, and databases

Question

There is a team of developers and data scientists and you are a security administrator on that team. It is planned to use Azure Databricks to perform data analysis. You are tasked to design an Azure-based storage repository with these requirements met: -Hadoop-compatible file system - File-level access control lists -Shared access signature (SAS) token support Identify which of the following would you create?

Options

  • AData Lake Storage Gent
  • BData Lake Storage Gen2
  • CAzure SQL Data Warehouse
  • DGeneral purpose v1 storage account

How the community answered

(31 responses)
  • A
    6% (2)
  • B
    77% (24)
  • C
    3% (1)
  • D
    13% (4)

Why each option

For Azure Databricks data analysis requiring a Hadoop-compatible file system, file-level ACLs, and SAS token support, Azure Data Lake Storage Gen2 is the appropriate storage solution.

AData Lake Storage Gent

Data Lake Storage Gen1 is an older generation service that is being retired and lacks the full feature set and performance of Gen2, particularly around tighter integration with Blob storage features like SAS.

BData Lake Storage Gen2Correct

Azure Data Lake Storage Gen2 (ADLS Gen2) meets all specified requirements by providing a Hadoop-compatible file system with hierarchical namespace, robust file-level access control lists (ACLs) for granular permissions, and full support for Shared Access Signatures (SAS) to grant time-limited, specific permissions to storage resources. It is optimized for big data analytics workloads like those from Azure Databricks.

CAzure SQL Data Warehouse

Azure SQL Data Warehouse (now Azure Synapse Analytics) is a relational data warehousing service, not a file system-based storage repository for raw data that would typically integrate with Databricks in this manner.

DGeneral purpose v1 storage account

A general-purpose v1 storage account lacks the hierarchical namespace and optimized performance for big data analytics workloads, and its ACL capabilities are less granular than those offered by ADLS Gen2.

Concept tested: Azure Data Lake Storage Gen2 features for big data analytics

Source: https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction

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