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Listening Quiz: Thiết Kế Streaming Dữ Liệu Thời Gian Thực Với Kafka – Advanced Level
Th6 8, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Kiến trúc sư hệ thống (English for Systems Architect)
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1.
What is the main topic of the conversation?
Explaining how to build a website using JavaScript
Comparing different messaging platforms for email delivery
Designing a customer support workflow for a sales team
Planning a Kafka-based system for real-time data streaming and analytics
Explanation:
Jessica and Kevin discuss using Kafka to design a real-time data streaming system for analytics, including topics, reliability, throughput, fault tolerance, consumers, processing, and monitoring.
2.
How will Kafka feed the analytics platform?
By storing files for later manual upload
By sending data streams directly to the analytics system
By emailing reports to analysts
By converting all data into spreadsheets
Explanation:
Jessica says, ‘Kafka will send data streams directly to the analytics system.’
3.
What will each Kafka topic represent?
A backup server
A user account
A monthly report
A different data source
Explanation:
Jessica explains that ‘each topic will represent a different data source.’
4.
What does Jessica say will be used to ensure reliability in Kafka?
Compression and encryption
Replication and acknowledgments
Load balancing and caching
Manual checks and email alerts
Explanation:
Jessica states, ‘We will use replication and acknowledgments for reliability.’
5.
What can be inferred about the system Jessica and Kevin are designing?
It is designed mainly for offline archiving of old documents
It is intended to support real-time analytics with fast and reliable data delivery
It focuses on replacing the analytics platform entirely
It will not need any monitoring or fault tolerance
Explanation:
The conversation emphasizes real-time streaming, direct delivery to analytics, high throughput, low latency, reliability, fault tolerance, and monitoring, which supports the inference that the system is meant for fast and dependable real-time analytics.
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