The video tutorial discusses optimizing a notification mechanism for temperature changes. Initially, all observers receive notifications for every change, but this is inefficient for small changes. The solution involves categorizing notifications using enums, allowing observers to register for specific changes. This reduces unnecessary notifications and simplifies future modifications. The tutorial demonstrates the implementation and output of this optimized mechanism.

What is the main issue with all observers receiving notifications for every temperature change?

• It causes unnecessary network traffic.

• It leads to increased power consumption.

• Observers may not need to handle small changes.

• It results in data loss.

Why is storing and comparing temperature changes not an ideal solution for observers?

• It requires too much memory.

• It leads to duplicated logic across observers.

• It is too complex to implement.

• It causes delays in notification delivery.

How does the new notification mechanism improve efficiency?

• By using a faster communication protocol.

• By compressing the notification data.

• By reducing the number of observers.

• By allowing observers to register for specific notifications.

What role does an enum play in the new notification mechanism?

• It compresses notification data.

• It logs temperature changes.

• It stores observer data.

• It categorizes temperature changes.

What data structure is used to manage observer lists in the new system?

• Map

• Linked List

• Array

• Stack

What is the threshold for a large temperature change in the new system?

• 2.0 Celsius

• 0.5 Celsius

• 0.1 Celsius

• 1.0 Celsius

Which observers register for large temperature changes in the new system?

• Recorder

• Billboard and simple display

• All observers

• None of the observers