CLOUD-DIGITAL-LEADER · Question #407
What is a defining function of streaming analytics?
The correct answer is A. Processing data records continuously. Streaming analytics is defined by its ability to process data records continuously as they arrive, enabling real-time insights rather than waiting for data to accumulate.
Question
What is a defining function of streaming analytics?
Options
- AProcessing data records continuously
- BProcessing data records in batches
- CProcessing a one-off data backfill
- DAccessing data with high latency
How the community answered
(27 responses)- A89% (24)
- B4% (1)
- D7% (2)
Why each option
Streaming analytics is defined by its ability to process data records continuously as they arrive, enabling real-time insights rather than waiting for data to accumulate.
Streaming analytics ingests and processes each data record as it is generated, delivering results with low latency. This continuous processing model contrasts with batch processing and is the foundational characteristic that distinguishes streaming from other analytics paradigms. Technologies like Apache Kafka and Google Dataflow are built around this principle.
Processing data in batches describes batch analytics, which accumulates data over a period before processing it together, the opposite of streaming.
A one-off data backfill is a historical data migration task, not a continuous or real-time processing pattern.
Streaming analytics is defined by low latency, not high latency; high latency access is a characteristic of archival or batch systems.
Concept tested: Defining characteristics of streaming analytics
Source: https://cloud.google.com/learn/what-is-streaming-analytics
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