Metadata and data mining for live streaming reliability
2025-hsc-se-q18 · short_answer · 3 marks
Source: NESA 2025 HSC Software Engineering HSC Q18
Question
A streaming service has exclusive rights to broadcast a live event each Sunday afternoon.
Explain how the streaming service can use metadata and data mining to prevent technical difficulties during the broadcast of this weekly event.
Reveal answer
Metadata describes the content, structure and meaning of data, enabling more effective data mining. Data mining can identify viewing patterns and predict times of high demand. The streaming service can use this information with real-time user data to balance server loads and deliver smoother playback during the live event.
Marking rubric
| Marks | Description |
|---|---|
| 3 | Explains how metadata and data mining can be used to prevent technical difficulties during the broadcast of the live event. |
| 2 | Outlines how metadata and/or data mining can be used to prevent broadcast technical difficulties. |
| 1 | Identifies a feature of metadata or data mining. |
Explanation
The best answers connect metadata and data mining to operational action, such as demand prediction, load balancing, capacity planning, caching or scaling.
Metadata
- Submitter
- Seed data
- Created
- 2026-05-01
- Status
- published
- Syllabus
- SE12-WEB-BIG-DATA-ARCHITECTURE SE-12-04
- Tags
- metadata data mining streaming web architecture