Spotify plans to implement a feature that processes streaming user data in real-time to dynamically adjust song recommendations. Which architectural component should be integrated to support this?

hard📝 Trade-off Q9 of 15

Microservices - Real-World Architecture Case Studies

AA real-time event streaming platform like Apache Kafka

BA traditional relational database for batch processing

CA static cache layer for storing recommendations

DA monolithic service handling all user data synchronously

Step-by-Step Solution

Solution:

Step 1: Identify real-time processing needs
Real-time user data requires event streaming for low latency and scalability.
Step 2: Evaluate options
Apache Kafka supports real-time event streaming; relational DBs and static caches are unsuitable for real-time dynamic updates; monolithic services lack scalability.
Final Answer:
A real-time event streaming platform like Apache Kafka -> Option A
Quick Check:
Event streaming platforms enable real-time data processing [OK]

Quick Trick: Use event streaming for real-time data [OK]

Common Mistakes:

Choosing batch processing databases
Relying on static caches for dynamic data
Using monolithic services for scalability

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Spotify plans to implement a feature that processes streaming user data in real-time to dynamically adjust song recommendations. Which architectural component should be integrated to support this?

Step 1: Identify real-time processing needs

Step 2: Evaluate options

Final Answer:

Quick Check:

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