A digital marketing agency is designing an analytical data platform to query ad campaign click logs. The logs are uploaded daily as Parquet files to Azure Data Lake Storage (ADLS) Gen2, totaling of new data per day. Analysts will run infrequent, ad-hoc exploratory T-SQL queries that must run directly against the storage account. The platform must survive a primary regional datacenter outage, minimize operational costs, and secure data access without utilizing long-lived access keys.
Which architecture should you recommend to meet these requirements?
- Azure Data Lake Storage Gen2 configured with Geo-Redundant Storage (GRS), queried using Azure Synapse serverless SQL pools with a system-assigned managed identity.Cevap
- BAzure Data Lake Storage Gen2 configured with Locally Redundant Storage (LRS), queried using Azure Synapse serverless SQL pools with a system-assigned managed identity.
- CAzure Data Lake Storage Gen2 configured with Geo-Redundant Storage (GRS), queried using Azure Synapse dedicated SQL pools with a Shared Access Signature (SAS) token.
- DAzure Data Lake Storage Gen2 configured with Locally Redundant Storage (LRS), queried using Azure Synapse dedicated SQL pools with a system-assigned managed identity.
Cevap
Azure Data Lake Storage Gen2 configured with Geo-Redundant Storage (GRS), queried using Azure Synapse serverless SQL pools with a system-assigned managed identity.
The correct architecture uses Geo-Redundant Storage (GRS) to ensure data survival during a primary datacenter outage, Azure Synapse serverless SQL pools to query the Parquet files on demand without paying for idle compute clusters, and a system-assigned managed identity to establish secure, passwordless authentication.
Adım Adım Çözüm
Anahtar Kavram
Selecting Azure analytical storage and query components based on redundancy, cost profiles, and access security requirements.
Tahmini Süre:1m 30s