You are designing a UI system where multiple components observe a shared data model. Which design choice best improves scalability and reduces UI lag when data changes rapidly?

hard📝 Trade-off Q15 of 15

LLD - Design — Chess Game

ANotify each observer immediately on every data change without batching

BUpdate UI components only on user interaction, ignoring data changes

CUse polling in each UI component to check data changes periodically

DUse the Observer pattern with batched notifications to observers

Step-by-Step Solution

Solution:

Step 1: Consider rapid data changes impact
Immediate notifications on every change can cause UI lag and overload.
Step 2: Evaluate design choices for scalability
Batching notifications reduces update frequency, improving performance and scalability.
Step 3: Compare with alternatives
Polling wastes resources; ignoring data changes harms UX.
Final Answer:
Use the Observer pattern with batched notifications to observers -> Option D
Quick Check:
Batching notifications = scalable, smooth UI [OK]

Quick Trick: Batch updates to observers reduce lag and improve scalability [OK]

Common Mistakes:

Not batching causes UI lag
Polling wastes CPU and delays updates
Ignoring data changes breaks UI sync

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More LLD Quizzes

You are designing a UI system where multiple components observe a shared data model. Which design choice best improves scalability and reduces UI lag when data changes rapidly?

Step 1: Consider rapid data changes impact

Step 2: Evaluate design choices for scalability

Step 3: Compare with alternatives

Final Answer:

Quick Check:

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