Users must be alerted when a value in streaming data crosses a threshold. What fits?
Why A is the answer
Activator
Activator triggers actions from data conditions in Real-Time Intelligence.
In detail
- Activator watches data and acts when a threshold is crossed.
- It can also trigger other actions.
Use case
An illustrative scenario, not a real incident.
A cold store must react if a freezer warms up. Activator watches the stream and alerts staff when the value crosses the limit.
See it in different ways
flowchart LR A["Event source"] --> B["Eventstream"] B --> C["Eventhouse"] B --> D["Lakehouse"] C --> E["KQL queries and alerts"]
flowchart LR A["Events"] --> B["Eventstream"] B --> C["Eventhouse"] B --> D["Activator alert"] A --> E["Spark structured streaming"]
flowchart TD
Q{"Is the value over the limit?"}
Q -->|"Yes"| A0["Trigger the action"]
Q -->|"No"| A1["Keep watching"]Key point: Activator acts on data conditions.
Why the other options are wrong
- B. A deployment rule
- A rule changes deployment settings.
- C. VACUUM
- VACUUM removes files.
- D. A workspace domain
- A domain groups workspaces.