Microsoft Azure Solutions Architect Expert AZ-305 Practice Question

Contoso manufactures industrial sensors that each send a 2-KB JSON message every second, producing about 2 TB of data daily. Data engineers query the most recent 30 days from Azure Synapse Analytics with sub-minute latency to power operational dashboards. After 30 days, the data is seldom read, but regulations require it be retained and available for ad-hoc queries within a few minutes for seven years. You must design a cost-efficient storage solution that meets these requirements with minimal operational overhead. Which option should you recommend?

  • Store the telemetry in Azure Cosmos DB (Core SQL API) with analytical store enabled and set a 7-year time-to-live (TTL) policy.

  • Persist the data in an Azure Data Explorer cluster configured with a seven-year retention policy.

  • Ingest the telemetry into Azure Data Lake Storage Gen2 in the Hot access tier, then apply a lifecycle management rule that moves files to the Cool tier after 30 days and retains them for seven years.

  • Archive the telemetry directly to the Azure Blob Storage Archive tier and rehydrate data on demand when queries are required.

Microsoft Azure Solutions Architect Expert AZ-305
Design data storage solutions
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot