Which use cases would benefit most from continuous event stream processing? (Choose three.)

The correct answer is A. Fraud detection B. Context-aware product recommendations for e-commerce D. Log monitoring/application fault detection. Real-time analysis of transactions helps detect suspicious activity instantly. Context-aware product recommendations for e-commerce requires real-time user behavior tracking to serve personalized recommendations. Log monitoring/application fault detection needs immediate…

Apache Kafka Fundamentals

Question

Options

AFraud detection
BContext-aware product recommendations for e-commerce
CEnd-of-day financial settlement processing
DLog monitoring/application fault detection
EHistorical dashboards

How the community answered

(64 responses)

A
75% (48)
C
8% (5)
E
17% (11)

Explanation

Real-time analysis of transactions helps detect suspicious activity instantly. Context-aware product recommendations for e-commerce requires real-time user behavior tracking to serve personalized recommendations. Log monitoring/application fault detection needs immediate processing to alert on system issues

Topics

#stream processing use cases#fraud detection#real-time analytics#event-driven

Community Discussion

No community discussion yet for this question.

Full CCAAK Practice