Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
Your company ingests about 5 TB of semi-structured JSON telemetry each day from IoT devices. Data must be retained for at least five years, be quickly accessible for ad-hoc analytics from Azure Databricks and Azure Synapse, and allow POSIX-style directory and file-level access control lists (ACLs). You need a cost-optimized Azure service to store this data. Which storage solution should you recommend?
Use an Azure SQL Database Hyperscale tier with tables containing JSON columns
Create an Azure Storage account with the hierarchical namespace enabled and store the data in Azure Data Lake Storage Gen2
Persist the data on Azure managed disks attached to an HDInsight HDFS cluster for later querying
Store the data in an Azure Cosmos DB account configured with the Core (SQL) API and autoscale throughput
Azure Storage accounts with the hierarchical namespace enabled provide Azure Data Lake Storage Gen2. ADLS Gen2 exposes an HDFS-compatible file system with POSIX ACLs, integrates natively with Azure Databricks and Synapse, and keeps costs low by using blob storage pricing tiers (Hot, Cool, or Archive). Azure Cosmos DB is optimized for transactional workloads and is significantly more expensive per terabyte. Azure SQL Database Hyperscale stores data in relational tables and is less suited to storing or analyzing petabyte-scale JSON files. Using Azure managed disks behind an HDInsight cluster incurs higher storage and compute costs and lacks the direct, serverless integration with Synapse that ADLS Gen2 provides. Therefore, ADLS Gen2 in a storage account with the hierarchical namespace is the best fit.
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Microsoft Azure Solutions Architect Expert AZ-305
Design data storage solutions
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