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AI-102 · Question #133

Which scenario is an example of a streaming workload?

The correct answer is D. sending telemetry data from edge devices. A streaming workload involves continuous, often real-time, ingestion and processing of data as it is generated, such as telemetry data from numerous edge devices.

Submitted by stefanr· Mar 30, 2026Plan and manage an Azure AI solution

Question

Which scenario is an example of a streaming workload?

Options

  • Asending transactions daily from point of sale (POS) devices
  • Bsending cloud infrastructure metadata every 30 minutes
  • Csending transactions that are older than a month to an archive
  • Dsending telemetry data from edge devices

How the community answered

(36 responses)
  • B
    3% (1)
  • C
    3% (1)
  • D
    94% (34)

Why each option

A streaming workload involves continuous, often real-time, ingestion and processing of data as it is generated, such as telemetry data from numerous edge devices.

Asending transactions daily from point of sale (POS) devices

Sending transactions "daily" implies a batch processing workload, where data is collected over a period and then processed at a scheduled interval, rather than continuously.

Bsending cloud infrastructure metadata every 30 minutes

Sending cloud infrastructure metadata "every 30 minutes" describes a scheduled batch process, not a continuous stream of data.

Csending transactions that are older than a month to an archive

Sending transactions "older than a month to an archive" is a historical data movement or batch archival process, not real-time streaming data processing.

Dsending telemetry data from edge devicesCorrect

Sending telemetry data from edge devices exemplifies a streaming workload because it involves a continuous, real-time flow of small data packets that need to be processed immediately as they arrive, typical for monitoring and immediate analysis.

Concept tested: Streaming data workloads

Source: https://learn.microsoft.com/en-us/azure/architecture/data-guide/big-data/streaming-data

Topics

#Streaming workloads#Real-time data processing#Telemetry data

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