A logistics provider is designing a telemetry analysis platform on Azure. The solution must meet the following requirements:
- Maintain regional disaster resilience for all ingested telemetry data.
- Allow data scientists to perform ad-hoc, exploratory queries on raw CSV telemetry log files without incurring ongoing costs for idle compute resources.
Which two design choices should you include in the storage and analytics architecture? (Select TWO.)
- Configure the telemetry storage account as Geo-Redundant Storage (GRS).Answer
- Use Azure Synapse Analytics serverless SQL pools to query the CSV files.Answer
- CConfigure the telemetry storage account as Locally Redundant Storage (LRS).
- DProvision an Azure Synapse dedicated SQL pool to query the CSV files.
Answer
Configuring the storage account as Geo-Redundant Storage (GRS) and using Azure Synapse Analytics serverless SQL pools to query the CSV files.
Configuring the storage account as Geo-Redundant Storage (GRS) satisfies the requirement for regional disaster resilience by replicating data across regions. Using Azure Synapse Analytics serverless SQL pools meets the requirement for ad-hoc, exploratory queries on CSV files without ongoing costs because it uses a pay-per-query model and does not require provisioned compute infrastructure.
Step-by-Step Solution
Key Concept
Selecting cost-effective analytical query capabilities and disaster-resilient storage tiers in Azure Synapse and Azure Data Lake Storage.